Overview

Dataset statistics

Number of variables55
Number of observations388
Missing cells0
Missing cells (%)0.0%
Duplicate rows64
Duplicate rows (%)16.5%
Total size in memory166.8 KiB
Average record size in memory440.3 B

Variable types

Numeric5
Categorical49
Boolean1

Alerts

Dataset has 64 (16.5%) duplicate rowsDuplicates
Reviews has a high cardinality: 181 distinct values High cardinality
Time saving is highly correlated with Ease and convenient and 6 other fieldsHigh correlation
Ease and convenient is highly correlated with Time saving and 19 other fieldsHigh correlation
Monthly Income is highly correlated with Age and 1 other fieldsHigh correlation
More restaurant choices is highly correlated with Ease and convenient and 7 other fieldsHigh correlation
Good Taste is highly correlated with Ease and convenient and 11 other fieldsHigh correlation
Good Quantity is highly correlated with Ease and convenient and 13 other fieldsHigh correlation
Easy Payment option is highly correlated with Ease and convenient and 6 other fieldsHigh correlation
More Offers and Discount is highly correlated with Ease and convenient and 6 other fieldsHigh correlation
Meal(P2) is highly correlated with Meal(P1)High correlation
Freshness is highly correlated with Ease and convenient and 13 other fieldsHigh correlation
Output is highly correlated with Ease and convenient and 1 other fieldsHigh correlation
Occupation is highly correlated with Age and 1 other fieldsHigh correlation
Meal(P1) is highly correlated with Meal(P2)High correlation
Age is highly correlated with Marital Status and 3 other fieldsHigh correlation
Marital Status is highly correlated with AgeHigh correlation
Educational Qualifications is highly correlated with AgeHigh correlation
latitude is highly correlated with longitude and 1 other fieldsHigh correlation
longitude is highly correlated with latitude and 1 other fieldsHigh correlation
Pin code is highly correlated with latitude and 1 other fieldsHigh correlation
Perference(P1) is highly correlated with Perference(P2)High correlation
Perference(P2) is highly correlated with Perference(P1)High correlation
Good Food quality is highly correlated with Ease and convenient and 8 other fieldsHigh correlation
Good Tracking system is highly correlated with Ease and convenient and 5 other fieldsHigh correlation
Self Cooking is highly correlated with Ease and convenient and 3 other fieldsHigh correlation
Health Concern is highly correlated with Self Cooking and 4 other fieldsHigh correlation
Late Delivery is highly correlated with Health Concern and 5 other fieldsHigh correlation
Poor Hygiene is highly correlated with Ease and convenient and 9 other fieldsHigh correlation
Bad past experience is highly correlated with Good Food quality and 10 other fieldsHigh correlation
Unavailability is highly correlated with Ease and convenient and 9 other fieldsHigh correlation
Unaffordable is highly correlated with Late Delivery and 3 other fieldsHigh correlation
Long delivery time is highly correlated with Ease and convenient and 14 other fieldsHigh correlation
Delay of delivery person getting assigned is highly correlated with Poor Hygiene and 5 other fieldsHigh correlation
Delay of delivery person picking up food is highly correlated with Long delivery time and 2 other fieldsHigh correlation
Wrong order delivered is highly correlated with Ease and convenient and 7 other fieldsHigh correlation
Missing item is highly correlated with Poor Hygiene and 6 other fieldsHigh correlation
Order placed by mistake is highly correlated with Wrong order delivered and 1 other fieldsHigh correlation
Maximum wait time is highly correlated with Ease and convenient and 3 other fieldsHigh correlation
Residence in busy location is highly correlated with Ease and convenient and 13 other fieldsHigh correlation
Google Maps Accuracy is highly correlated with Residence in busy location and 8 other fieldsHigh correlation
Good Road Condition is highly correlated with Ease and convenient and 10 other fieldsHigh correlation
Low quantity low time is highly correlated with Residence in busy location and 2 other fieldsHigh correlation
Delivery person ability is highly correlated with Residence in busy location and 3 other fieldsHigh correlation
Less Delivery time is highly correlated with Residence in busy location and 6 other fieldsHigh correlation
High Quality of package is highly correlated with Ease and convenient and 11 other fieldsHigh correlation
Number of calls is highly correlated with Less Delivery time and 3 other fieldsHigh correlation
Politeness is highly correlated with Ease and convenient and 11 other fieldsHigh correlation
Temperature is highly correlated with High Quality of package and 4 other fieldsHigh correlation

Reproduction

Analysis started2022-09-12 05:40:46.012533
Analysis finished2022-09-12 05:41:13.927076
Duration27.91 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

Age
Real number (ℝ≥0)

HIGH CORRELATION

Distinct16
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.62886598
Minimum18
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB

Quantile statistics

Minimum18
5-th percentile21
Q123
median24
Q326
95-th percentile31
Maximum33
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.975592661
Coefficient of variation (CV)0.1208172826
Kurtosis0.25601405
Mean24.62886598
Median Absolute Deviation (MAD)2
Skewness0.8098768724
Sum9556
Variance8.854151682
MonotonicityNot monotonic
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2373
18.8%
2257
14.7%
2552
13.4%
2450
12.9%
2635
9.0%
2123
 
5.9%
2721
 
5.4%
3216
 
4.1%
2815
 
3.9%
2914
 
3.6%
Other values (6)32
8.2%
ValueCountFrequency (%)
181
 
0.3%
194
 
1.0%
209
 
2.3%
2123
 
5.9%
2257
14.7%
2373
18.8%
2450
12.9%
2552
13.4%
2635
9.0%
2721
 
5.4%
ValueCountFrequency (%)
331
 
0.3%
3216
 
4.1%
318
 
2.1%
309
 
2.3%
2914
 
3.6%
2815
 
3.9%
2721
5.4%
2635
9.0%
2552
13.4%
2450
12.9%

Gender
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Male
222 
Female
166 

Length

Max length6
Median length4
Mean length4.855670103
Min length4

Characters and Unicode

Total characters1884
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFemale
2nd rowFemale
3rd rowMale
4th rowFemale
5th rowMale

Common Values

ValueCountFrequency (%)
Male222
57.2%
Female166
42.8%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
male222
57.2%
female166
42.8%

Most occurring characters

ValueCountFrequency (%)
e554
29.4%
a388
20.6%
l388
20.6%
M222
11.8%
F166
 
8.8%
m166
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1496
79.4%
Uppercase Letter388
 
20.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e554
37.0%
a388
25.9%
l388
25.9%
m166
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
M222
57.2%
F166
42.8%

Most occurring scripts

ValueCountFrequency (%)
Latin1884
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e554
29.4%
a388
20.6%
l388
20.6%
M222
11.8%
F166
 
8.8%
m166
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e554
29.4%
a388
20.6%
l388
20.6%
M222
11.8%
F166
 
8.8%
m166
 
8.8%

Marital Status
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Single
268 
Married
108 
Prefer not to say
 
12

Length

Max length17
Median length6
Mean length6.618556701
Min length6

Characters and Unicode

Total characters2568
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSingle
2nd rowSingle
3rd rowSingle
4th rowSingle
5th rowSingle

Common Values

ValueCountFrequency (%)
Single268
69.1%
Married108
27.8%
Prefer not to say12
 
3.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
single268
63.2%
married108
25.5%
prefer12
 
2.8%
not12
 
2.8%
to12
 
2.8%
say12
 
2.8%

Most occurring characters

ValueCountFrequency (%)
e400
15.6%
i376
14.6%
n280
10.9%
S268
10.4%
g268
10.4%
l268
10.4%
r240
9.3%
a120
 
4.7%
M108
 
4.2%
d108
 
4.2%
Other values (7)132
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2144
83.5%
Uppercase Letter388
 
15.1%
Space Separator36
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e400
18.7%
i376
17.5%
n280
13.1%
g268
12.5%
l268
12.5%
r240
11.2%
a120
 
5.6%
d108
 
5.0%
o24
 
1.1%
t24
 
1.1%
Other values (3)36
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S268
69.1%
M108
27.8%
P12
 
3.1%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2532
98.6%
Common36
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e400
15.8%
i376
14.8%
n280
11.1%
S268
10.6%
g268
10.6%
l268
10.6%
r240
9.5%
a120
 
4.7%
M108
 
4.3%
d108
 
4.3%
Other values (6)96
 
3.8%
Common
ValueCountFrequency (%)
36
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e400
15.6%
i376
14.6%
n280
10.9%
S268
10.4%
g268
10.4%
l268
10.4%
r240
9.3%
a120
 
4.7%
M108
 
4.2%
d108
 
4.2%
Other values (7)132
 
5.1%

Occupation
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Student
207 
Employee
118 
Self Employeed
54 
House wife
 
9

Length

Max length14
Median length7
Mean length8.347938144
Min length7

Characters and Unicode

Total characters3239
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStudent
2nd rowStudent
3rd rowStudent
4th rowStudent
5th rowStudent

Common Values

ValueCountFrequency (%)
Student207
53.4%
Employee118
30.4%
Self Employeed54
 
13.9%
House wife9
 
2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
student207
45.9%
employee118
26.2%
self54
 
12.0%
employeed54
 
12.0%
house9
 
2.0%
wife9
 
2.0%

Most occurring characters

ValueCountFrequency (%)
e623
19.2%
t414
12.8%
S261
8.1%
d261
8.1%
l226
 
7.0%
u216
 
6.7%
n207
 
6.4%
o181
 
5.6%
E172
 
5.3%
m172
 
5.3%
Other values (8)506
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2734
84.4%
Uppercase Letter442
 
13.6%
Space Separator63
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e623
22.8%
t414
15.1%
d261
9.5%
l226
 
8.3%
u216
 
7.9%
n207
 
7.6%
o181
 
6.6%
m172
 
6.3%
p172
 
6.3%
y172
 
6.3%
Other values (4)90
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S261
59.0%
E172
38.9%
H9
 
2.0%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3176
98.1%
Common63
 
1.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e623
19.6%
t414
13.0%
S261
8.2%
d261
8.2%
l226
 
7.1%
u216
 
6.8%
n207
 
6.5%
o181
 
5.7%
E172
 
5.4%
m172
 
5.4%
Other values (7)443
13.9%
Common
ValueCountFrequency (%)
63
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e623
19.2%
t414
12.8%
S261
8.1%
d261
8.1%
l226
 
7.0%
u216
 
6.7%
n207
 
6.4%
o181
 
5.6%
E172
 
5.3%
m172
 
5.3%
Other values (8)506
15.6%

Monthly Income
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
No Income
187 
25001 to 50000
69 
More than 50000
62 
10001 to 25000
45 
Below Rs.10000
25 

Length

Max length15
Median length14
Mean length11.75
Min length9

Characters and Unicode

Total characters4559
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo Income
2nd rowBelow Rs.10000
3rd rowBelow Rs.10000
4th rowNo Income
5th rowBelow Rs.10000

Common Values

ValueCountFrequency (%)
No Income187
48.2%
25001 to 5000069
 
17.8%
More than 5000062
 
16.0%
10001 to 2500045
 
11.6%
Below Rs.1000025
 
6.4%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
no187
19.6%
income187
19.6%
50000131
13.8%
to114
12.0%
2500169
 
7.2%
more62
 
6.5%
than62
 
6.5%
1000145
 
4.7%
2500045
 
4.7%
below25
 
2.6%

Most occurring characters

ValueCountFrequency (%)
01032
22.6%
o575
12.6%
564
12.4%
e274
 
6.0%
n249
 
5.5%
5245
 
5.4%
N187
 
4.1%
I187
 
4.1%
c187
 
4.1%
m187
 
4.1%
Other values (13)872
19.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1909
41.9%
Decimal Number1575
34.5%
Space Separator564
 
12.4%
Uppercase Letter486
 
10.7%
Other Punctuation25
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o575
30.1%
e274
14.4%
n249
13.0%
c187
 
9.8%
m187
 
9.8%
t176
 
9.2%
r62
 
3.2%
h62
 
3.2%
a62
 
3.2%
l25
 
1.3%
Other values (2)50
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
N187
38.5%
I187
38.5%
M62
 
12.8%
B25
 
5.1%
R25
 
5.1%
Decimal Number
ValueCountFrequency (%)
01032
65.5%
5245
 
15.6%
1184
 
11.7%
2114
 
7.2%
Space Separator
ValueCountFrequency (%)
564
100.0%
Other Punctuation
ValueCountFrequency (%)
.25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2395
52.5%
Common2164
47.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o575
24.0%
e274
11.4%
n249
10.4%
N187
 
7.8%
I187
 
7.8%
c187
 
7.8%
m187
 
7.8%
t176
 
7.3%
M62
 
2.6%
r62
 
2.6%
Other values (7)249
10.4%
Common
ValueCountFrequency (%)
01032
47.7%
564
26.1%
5245
 
11.3%
1184
 
8.5%
2114
 
5.3%
.25
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII4559
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01032
22.6%
o575
12.6%
564
12.4%
e274
 
6.0%
n249
 
5.5%
5245
 
5.4%
N187
 
4.1%
I187
 
4.1%
c187
 
4.1%
m187
 
4.1%
Other values (13)872
19.1%

Educational Qualifications
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Graduate
177 
Post Graduate
174 
Ph.D
23 
School
 
12
Uneducated
 
2

Length

Max length13
Median length10
Mean length9.953608247
Min length4

Characters and Unicode

Total characters3862
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPost Graduate
2nd rowGraduate
3rd rowPost Graduate
4th rowGraduate
5th rowPost Graduate

Common Values

ValueCountFrequency (%)
Graduate177
45.6%
Post Graduate174
44.8%
Ph.D23
 
5.9%
School12
 
3.1%
Uneducated2
 
0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
graduate351
62.5%
post174
31.0%
ph.d23
 
4.1%
school12
 
2.1%
uneducated2
 
0.4%

Most occurring characters

ValueCountFrequency (%)
a704
18.2%
t527
13.6%
d355
9.2%
e355
9.2%
u353
9.1%
G351
9.1%
r351
9.1%
o198
 
5.1%
P197
 
5.1%
174
 
4.5%
Other values (9)297
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3080
79.8%
Uppercase Letter585
 
15.1%
Space Separator174
 
4.5%
Other Punctuation23
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a704
22.9%
t527
17.1%
d355
11.5%
e355
11.5%
u353
11.5%
r351
11.4%
o198
 
6.4%
s174
 
5.6%
h35
 
1.1%
c14
 
0.5%
Other values (2)14
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
G351
60.0%
P197
33.7%
D23
 
3.9%
S12
 
2.1%
U2
 
0.3%
Space Separator
ValueCountFrequency (%)
174
100.0%
Other Punctuation
ValueCountFrequency (%)
.23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3665
94.9%
Common197
 
5.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a704
19.2%
t527
14.4%
d355
9.7%
e355
9.7%
u353
9.6%
G351
9.6%
r351
9.6%
o198
 
5.4%
P197
 
5.4%
s174
 
4.7%
Other values (7)100
 
2.7%
Common
ValueCountFrequency (%)
174
88.3%
.23
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII3862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a704
18.2%
t527
13.6%
d355
9.2%
e355
9.2%
u353
9.1%
G351
9.1%
r351
9.1%
o198
 
5.1%
P197
 
5.1%
174
 
4.5%
Other values (9)297
7.7%

Family size
Real number (ℝ≥0)

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.280927835
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.35102494
Coefficient of variation (CV)0.4117813642
Kurtosis-0.6634980527
Mean3.280927835
Median Absolute Deviation (MAD)1
Skewness0.4013763516
Sum1273
Variance1.825268388
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3117
30.2%
2101
26.0%
463
16.2%
554
13.9%
629
 
7.5%
124
 
6.2%
ValueCountFrequency (%)
124
 
6.2%
2101
26.0%
3117
30.2%
463
16.2%
554
13.9%
629
 
7.5%
ValueCountFrequency (%)
629
 
7.5%
554
13.9%
463
16.2%
3117
30.2%
2101
26.0%
124
 
6.2%

latitude
Real number (ℝ≥0)

HIGH CORRELATION

Distinct77
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.97205799
Minimum12.8652
Maximum13.102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB

Quantile statistics

Minimum12.8652
5-th percentile12.8988
Q112.9369
median12.977
Q312.997025
95-th percentile13.058295
Maximum13.102
Range0.2368
Interquartile range (IQR)0.060125

Descriptive statistics

Standard deviation0.04448924863
Coefficient of variation (CV)0.003429621473
Kurtosis0.03057286742
Mean12.97205799
Median Absolute Deviation (MAD)0.0276
Skewness0.1602584132
Sum5033.1585
Variance0.001979293243
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.97736
 
9.3%
12.978316
 
4.1%
12.98514
 
3.6%
12.884512
 
3.1%
12.936911
 
2.8%
12.926111
 
2.8%
12.90489
 
2.3%
12.97069
 
2.3%
13.02068
 
2.1%
12.93438
 
2.1%
Other values (67)254
65.5%
ValueCountFrequency (%)
12.86521
 
0.3%
12.88342
 
0.5%
12.884512
3.1%
12.88934
 
1.0%
12.89885
1.3%
12.90373
 
0.8%
12.90489
2.3%
12.91052
 
0.5%
12.91192
 
0.5%
12.91494
 
1.0%
ValueCountFrequency (%)
13.1022
 
0.5%
13.08092
 
0.5%
13.07344
1.0%
13.06415
1.3%
13.06267
1.8%
13.05032
 
0.5%
13.04961
 
0.3%
13.04878
2.1%
13.02982
 
0.5%
13.02893
 
0.8%

longitude
Real number (ℝ≥0)

HIGH CORRELATION

Distinct76
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.60015954
Minimum77.4842
Maximum77.7582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB

Quantile statistics

Minimum77.4842
5-th percentile77.5376
Q177.565275
median77.5921
Q377.6309
95-th percentile77.6848
Maximum77.7582
Range0.274
Interquartile range (IQR)0.065625

Descriptive statistics

Standard deviation0.05135391701
Coefficient of variation (CV)0.0006617759206
Kurtosis0.9844538259
Mean77.60015954
Median Absolute Deviation (MAD)0.03
Skewness0.801995129
Sum30108.8619
Variance0.002637224793
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.577336
 
9.3%
77.640816
 
4.1%
77.553314
 
3.6%
77.603612
 
3.1%
77.640711
 
2.8%
77.622111
 
2.8%
77.68219
 
2.3%
77.65299
 
2.3%
77.64798
 
2.1%
77.60448
 
2.1%
Other values (66)254
65.5%
ValueCountFrequency (%)
77.48422
 
0.5%
77.49042
 
0.5%
77.49212
 
0.5%
77.49411
 
0.3%
77.49921
 
0.3%
77.51281
 
0.3%
77.51351
 
0.3%
77.5241
 
0.3%
77.52847
1.8%
77.53321
 
0.3%
ValueCountFrequency (%)
77.75824
1.0%
77.758
2.1%
77.71322
 
0.5%
77.70814
1.0%
77.68485
1.3%
77.68219
2.3%
77.68043
 
0.8%
77.67134
1.0%
77.65936
1.5%
77.65299
2.3%

Pin code
Real number (ℝ≥0)

HIGH CORRELATION

Distinct77
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560040.1134
Minimum560001
Maximum560109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB

Quantile statistics

Minimum560001
5-th percentile560003
Q1560010.75
median560033.5
Q3560068
95-th percentile560096
Maximum560109
Range108
Interquartile range (IQR)57.25

Descriptive statistics

Standard deviation31.39960871
Coefficient of variation (CV)5.606671372 × 10-5
Kurtosis-1.021054356
Mean560040.1134
Median Absolute Deviation (MAD)24.5
Skewness0.5749126883
Sum217295564
Variance985.9354272
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56000936
 
9.3%
56003816
 
4.1%
56001014
 
3.6%
56007612
 
3.1%
56009511
 
2.8%
56003411
 
2.8%
5600369
 
2.3%
5600759
 
2.3%
5600438
 
2.1%
5600298
 
2.1%
Other values (67)254
65.5%
ValueCountFrequency (%)
5600018
 
2.1%
5600026
 
1.5%
5600037
 
1.8%
5600045
 
1.3%
5600056
 
1.5%
5600065
 
1.3%
5600074
 
1.0%
5600086
 
1.5%
56000936
9.3%
56001014
 
3.6%
ValueCountFrequency (%)
5601091
 
0.3%
5601041
 
0.3%
5601035
1.3%
5601022
 
0.5%
5601004
 
1.0%
5600981
 
0.3%
5600972
 
0.5%
5600967
1.8%
56009511
2.8%
5600934
 
1.0%

Medium (P1)
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Food delivery apps
358 
Walk-in
 
22
Direct call
 
5
Web browser
 
3

Length

Max length18
Median length18
Mean length17.23195876
Min length7

Characters and Unicode

Total characters6686
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFood delivery apps
2nd rowFood delivery apps
3rd rowFood delivery apps
4th rowFood delivery apps
5th rowWalk-in

Common Values

ValueCountFrequency (%)
Food delivery apps358
92.3%
Walk-in22
 
5.7%
Direct call5
 
1.3%
Web browser3
 
0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
food358
32.2%
delivery358
32.2%
apps358
32.2%
walk-in22
 
2.0%
direct5
 
0.4%
call5
 
0.4%
web3
 
0.3%
browser3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
e727
10.9%
724
10.8%
o719
10.8%
p716
10.7%
d716
10.7%
l390
 
5.8%
a385
 
5.8%
i385
 
5.8%
r369
 
5.5%
s361
 
5.4%
Other values (12)1194
17.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5552
83.0%
Space Separator724
 
10.8%
Uppercase Letter388
 
5.8%
Dash Punctuation22
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e727
13.1%
o719
13.0%
p716
12.9%
d716
12.9%
l390
7.0%
a385
6.9%
i385
6.9%
r369
6.6%
s361
6.5%
y358
6.4%
Other values (7)426
7.7%
Uppercase Letter
ValueCountFrequency (%)
F358
92.3%
W25
 
6.4%
D5
 
1.3%
Space Separator
ValueCountFrequency (%)
724
100.0%
Dash Punctuation
ValueCountFrequency (%)
-22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5940
88.8%
Common746
 
11.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e727
12.2%
o719
12.1%
p716
12.1%
d716
12.1%
l390
6.6%
a385
6.5%
i385
6.5%
r369
6.2%
s361
6.1%
F358
6.0%
Other values (10)814
13.7%
Common
ValueCountFrequency (%)
724
97.1%
-22
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII6686
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e727
10.9%
724
10.8%
o719
10.8%
p716
10.7%
d716
10.7%
l390
 
5.8%
a385
 
5.8%
i385
 
5.8%
r369
 
5.5%
s361
 
5.4%
Other values (12)1194
17.9%

Medium (P2)
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Direct call
208 
Walk-in
104 
Web browser
76 

Length

Max length12
Median length12
Mean length10.92783505
Min length8

Characters and Unicode

Total characters4240
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Web browser
2nd row Web browser
3rd row Direct call
4th row Walk-in
5th row Direct call

Common Values

ValueCountFrequency (%)
Direct call208
53.6%
Walk-in104
26.8%
Web browser76
 
19.6%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
direct208
31.0%
call208
31.0%
walk-in104
15.5%
web76
 
11.3%
browser76
 
11.3%

Most occurring characters

ValueCountFrequency (%)
672
15.8%
l520
12.3%
c416
9.8%
r360
8.5%
e360
8.5%
i312
7.4%
a312
7.4%
t208
 
4.9%
D208
 
4.9%
W180
 
4.2%
Other values (7)692
16.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3076
72.5%
Space Separator672
 
15.8%
Uppercase Letter388
 
9.2%
Dash Punctuation104
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l520
16.9%
c416
13.5%
r360
11.7%
e360
11.7%
i312
10.1%
a312
10.1%
t208
 
6.8%
b152
 
4.9%
k104
 
3.4%
n104
 
3.4%
Other values (3)228
7.4%
Uppercase Letter
ValueCountFrequency (%)
D208
53.6%
W180
46.4%
Space Separator
ValueCountFrequency (%)
672
100.0%
Dash Punctuation
ValueCountFrequency (%)
-104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3464
81.7%
Common776
 
18.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
l520
15.0%
c416
12.0%
r360
10.4%
e360
10.4%
i312
9.0%
a312
9.0%
t208
 
6.0%
D208
 
6.0%
W180
 
5.2%
b152
 
4.4%
Other values (5)436
12.6%
Common
ValueCountFrequency (%)
672
86.6%
-104
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII4240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
15.8%
l520
12.3%
c416
9.8%
r360
8.5%
e360
8.5%
i312
7.4%
a312
7.4%
t208
 
4.9%
D208
 
4.9%
W180
 
4.2%
Other values (7)692
16.3%

Meal(P1)
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Snacks
124 
Lunch
120 
Dinner
91 
Breakfast
53 

Length

Max length9
Median length6
Mean length6.100515464
Min length5

Characters and Unicode

Total characters2367
Distinct characters16
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBreakfast
2nd rowSnacks
3rd rowLunch
4th rowSnacks
5th rowLunch

Common Values

ValueCountFrequency (%)
Snacks124
32.0%
Lunch120
30.9%
Dinner91
23.5%
Breakfast53
13.7%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
snacks124
32.0%
lunch120
30.9%
dinner91
23.5%
breakfast53
13.7%

Most occurring characters

ValueCountFrequency (%)
n426
18.0%
c244
10.3%
a230
9.7%
k177
 
7.5%
s177
 
7.5%
e144
 
6.1%
r144
 
6.1%
S124
 
5.2%
L120
 
5.1%
u120
 
5.1%
Other values (6)461
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1979
83.6%
Uppercase Letter388
 
16.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n426
21.5%
c244
12.3%
a230
11.6%
k177
8.9%
s177
8.9%
e144
 
7.3%
r144
 
7.3%
u120
 
6.1%
h120
 
6.1%
i91
 
4.6%
Other values (2)106
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
S124
32.0%
L120
30.9%
D91
23.5%
B53
13.7%

Most occurring scripts

ValueCountFrequency (%)
Latin2367
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n426
18.0%
c244
10.3%
a230
9.7%
k177
 
7.5%
s177
 
7.5%
e144
 
6.1%
r144
 
6.1%
S124
 
5.2%
L120
 
5.1%
u120
 
5.1%
Other values (6)461
19.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII2367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n426
18.0%
c244
10.3%
a230
9.7%
k177
 
7.5%
s177
 
7.5%
e144
 
6.1%
r144
 
6.1%
S124
 
5.2%
L120
 
5.1%
u120
 
5.1%
Other values (6)461
19.5%

Meal(P2)
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Dinner
312 
Snacks
48 
Lunch
 
28

Length

Max length7
Median length7
Mean length6.927835052
Min length6

Characters and Unicode

Total characters2688
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Lunch
2nd row Dinner
3rd row Snacks
4th row Dinner
5th row Dinner

Common Values

ValueCountFrequency (%)
Dinner312
80.4%
Snacks48
 
12.4%
Lunch28
 
7.2%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
dinner312
80.4%
snacks48
 
12.4%
lunch28
 
7.2%

Most occurring characters

ValueCountFrequency (%)
n700
26.0%
388
14.4%
D312
11.6%
i312
11.6%
e312
11.6%
r312
11.6%
c76
 
2.8%
S48
 
1.8%
a48
 
1.8%
k48
 
1.8%
Other values (4)132
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1912
71.1%
Space Separator388
 
14.4%
Uppercase Letter388
 
14.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n700
36.6%
i312
16.3%
e312
16.3%
r312
16.3%
c76
 
4.0%
a48
 
2.5%
k48
 
2.5%
s48
 
2.5%
u28
 
1.5%
h28
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
D312
80.4%
S48
 
12.4%
L28
 
7.2%
Space Separator
ValueCountFrequency (%)
388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2300
85.6%
Common388
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n700
30.4%
D312
13.6%
i312
13.6%
e312
13.6%
r312
13.6%
c76
 
3.3%
S48
 
2.1%
a48
 
2.1%
k48
 
2.1%
s48
 
2.1%
Other values (3)84
 
3.7%
Common
ValueCountFrequency (%)
388
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n700
26.0%
388
14.4%
D312
11.6%
i312
11.6%
e312
11.6%
r312
11.6%
c76
 
2.8%
S48
 
1.8%
a48
 
1.8%
k48
 
1.8%
Other values (4)132
 
4.9%

Perference(P1)
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Non Veg foods (Lunch / Dinner)
315 
Veg foods (Breakfast / Lunch / Dinner)
69 
Sweets
 
3
Bakery items (snacks)
 
1

Length

Max length38
Median length30
Mean length31.21391753
Min length6

Characters and Unicode

Total characters12111
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowNon Veg foods (Lunch / Dinner)
2nd rowNon Veg foods (Lunch / Dinner)
3rd rowNon Veg foods (Lunch / Dinner)
4th rowVeg foods (Breakfast / Lunch / Dinner)
5th rowNon Veg foods (Lunch / Dinner)

Common Values

ValueCountFrequency (%)
Non Veg foods (Lunch / Dinner)315
81.2%
Veg foods (Breakfast / Lunch / Dinner)69
 
17.8%
Sweets3
 
0.8%
Bakery items (snacks)1
 
0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
453
19.0%
veg384
16.1%
foods384
16.1%
lunch384
16.1%
dinner384
16.1%
non315
13.2%
breakfast69
 
2.9%
sweets3
 
0.1%
bakery1
 
< 0.1%
items1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1991
16.4%
n1468
 
12.1%
o1083
 
8.9%
e845
 
7.0%
s459
 
3.8%
r454
 
3.7%
f453
 
3.7%
/453
 
3.7%
)385
 
3.2%
(385
 
3.2%
Other values (18)4135
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7357
60.7%
Space Separator1991
 
16.4%
Uppercase Letter1540
 
12.7%
Other Punctuation453
 
3.7%
Close Punctuation385
 
3.2%
Open Punctuation385
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n1468
20.0%
o1083
14.7%
e845
11.5%
s459
 
6.2%
r454
 
6.2%
f453
 
6.2%
c385
 
5.2%
i385
 
5.2%
g384
 
5.2%
d384
 
5.2%
Other values (8)1057
14.4%
Uppercase Letter
ValueCountFrequency (%)
L384
24.9%
V384
24.9%
D384
24.9%
N315
20.5%
B70
 
4.5%
S3
 
0.2%
Space Separator
ValueCountFrequency (%)
1991
100.0%
Other Punctuation
ValueCountFrequency (%)
/453
100.0%
Close Punctuation
ValueCountFrequency (%)
)385
100.0%
Open Punctuation
ValueCountFrequency (%)
(385
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8897
73.5%
Common3214
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n1468
16.5%
o1083
12.2%
e845
 
9.5%
s459
 
5.2%
r454
 
5.1%
f453
 
5.1%
c385
 
4.3%
i385
 
4.3%
g384
 
4.3%
d384
 
4.3%
Other values (14)2597
29.2%
Common
ValueCountFrequency (%)
1991
61.9%
/453
 
14.1%
)385
 
12.0%
(385
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII12111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1991
16.4%
n1468
 
12.1%
o1083
 
8.9%
e845
 
7.0%
s459
 
3.8%
r454
 
3.7%
f453
 
3.7%
/453
 
3.7%
)385
 
3.2%
(385
 
3.2%
Other values (18)4135
34.1%

Perference(P2)
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Veg foods (Breakfast / Lunch / Dinner)
294 
Sweets
46 
Ice cream / Cool drinks
35 
Bakery items (snacks)
 
13

Length

Max length39
Median length39
Mean length33.28350515
Min length7

Characters and Unicode

Total characters12914
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Bakery items (snacks)
2nd row Veg foods (Breakfast / Lunch / Dinner)
3rd row Ice cream / Cool drinks
4th row Bakery items (snacks)
5th row Veg foods (Breakfast / Lunch / Dinner)

Common Values

ValueCountFrequency (%)
Veg foods (Breakfast / Lunch / Dinner)294
75.8%
Sweets46
 
11.9%
Ice cream / Cool drinks35
 
9.0%
Bakery items (snacks)13
 
3.4%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
623
26.9%
veg294
12.7%
foods294
12.7%
breakfast294
12.7%
lunch294
12.7%
dinner294
12.7%
sweets46
 
2.0%
ice35
 
1.5%
cream35
 
1.5%
cool35
 
1.5%
Other values (4)74
 
3.2%

Most occurring characters

ValueCountFrequency (%)
2318
17.9%
e1070
 
8.3%
n930
 
7.2%
s708
 
5.5%
r671
 
5.2%
o658
 
5.1%
a649
 
5.0%
/623
 
4.8%
f588
 
4.6%
c377
 
2.9%
Other values (20)4322
33.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8054
62.4%
Space Separator2318
 
17.9%
Uppercase Letter1305
 
10.1%
Other Punctuation623
 
4.8%
Open Punctuation307
 
2.4%
Close Punctuation307
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1070
13.3%
n930
11.5%
s708
8.8%
r671
 
8.3%
o658
 
8.2%
a649
 
8.1%
f588
 
7.3%
c377
 
4.7%
k355
 
4.4%
t353
 
4.4%
Other values (9)1695
21.0%
Uppercase Letter
ValueCountFrequency (%)
B307
23.5%
D294
22.5%
L294
22.5%
V294
22.5%
S46
 
3.5%
I35
 
2.7%
C35
 
2.7%
Space Separator
ValueCountFrequency (%)
2318
100.0%
Other Punctuation
ValueCountFrequency (%)
/623
100.0%
Open Punctuation
ValueCountFrequency (%)
(307
100.0%
Close Punctuation
ValueCountFrequency (%)
)307
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9359
72.5%
Common3555
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1070
 
11.4%
n930
 
9.9%
s708
 
7.6%
r671
 
7.2%
o658
 
7.0%
a649
 
6.9%
f588
 
6.3%
c377
 
4.0%
k355
 
3.8%
t353
 
3.8%
Other values (16)3000
32.1%
Common
ValueCountFrequency (%)
2318
65.2%
/623
 
17.5%
(307
 
8.6%
)307
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII12914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2318
17.9%
e1070
 
8.3%
n930
 
7.2%
s708
 
5.5%
r671
 
5.2%
o658
 
5.1%
a649
 
5.0%
/623
 
4.8%
f588
 
4.6%
c377
 
2.9%
Other values (20)4322
33.5%

Ease and convenient
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
235 
Strongly agree
67 
Disagree
58 
Neutral
 
20
Strongly disagree
 
8

Length

Max length17
Median length5
Mean length7.353092784
Min length5

Characters and Unicode

Total characters2853
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowStrongly agree
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree235
60.6%
Strongly agree67
 
17.3%
Disagree58
 
14.9%
Neutral20
 
5.2%
Strongly disagree8
 
2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree302
65.2%
strongly75
 
16.2%
disagree66
 
14.3%
neutral20
 
4.3%

Most occurring characters

ValueCountFrequency (%)
e756
26.5%
r463
16.2%
g443
15.5%
A235
 
8.2%
a153
 
5.4%
l95
 
3.3%
t95
 
3.3%
75
 
2.6%
y75
 
2.6%
n75
 
2.6%
Other values (8)388
13.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2390
83.8%
Uppercase Letter388
 
13.6%
Space Separator75
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e756
31.6%
r463
19.4%
g443
18.5%
a153
 
6.4%
l95
 
4.0%
t95
 
4.0%
y75
 
3.1%
n75
 
3.1%
o75
 
3.1%
i66
 
2.8%
Other values (3)94
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A235
60.6%
S75
 
19.3%
D58
 
14.9%
N20
 
5.2%
Space Separator
ValueCountFrequency (%)
75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2778
97.4%
Common75
 
2.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e756
27.2%
r463
16.7%
g443
15.9%
A235
 
8.5%
a153
 
5.5%
l95
 
3.4%
t95
 
3.4%
y75
 
2.7%
n75
 
2.7%
o75
 
2.7%
Other values (7)313
11.3%
Common
ValueCountFrequency (%)
75
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e756
26.5%
r463
16.2%
g443
15.5%
A235
 
8.2%
a153
 
5.4%
l95
 
3.3%
t95
 
3.3%
75
 
2.6%
y75
 
2.6%
n75
 
2.6%
Other values (8)388
13.6%

Time saving
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
143 
Strongly agree
115 
Disagree
66 
Neutral
55 
Strongly disagree
 
9

Length

Max length17
Median length14
Mean length8.739690722
Min length5

Characters and Unicode

Total characters3391
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowStrongly agree
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree143
36.9%
Strongly agree115
29.6%
Disagree66
17.0%
Neutral55
 
14.2%
Strongly disagree9
 
2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree258
50.4%
strongly124
24.2%
disagree75
 
14.6%
neutral55
 
10.7%

Most occurring characters

ValueCountFrequency (%)
e721
21.3%
r512
15.1%
g457
13.5%
a245
 
7.2%
l179
 
5.3%
t179
 
5.3%
A143
 
4.2%
124
 
3.7%
y124
 
3.7%
n124
 
3.7%
Other values (8)583
17.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2879
84.9%
Uppercase Letter388
 
11.4%
Space Separator124
 
3.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e721
25.0%
r512
17.8%
g457
15.9%
a245
 
8.5%
l179
 
6.2%
t179
 
6.2%
y124
 
4.3%
n124
 
4.3%
o124
 
4.3%
i75
 
2.6%
Other values (3)139
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A143
36.9%
S124
32.0%
D66
17.0%
N55
 
14.2%
Space Separator
ValueCountFrequency (%)
124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3267
96.3%
Common124
 
3.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e721
22.1%
r512
15.7%
g457
14.0%
a245
 
7.5%
l179
 
5.5%
t179
 
5.5%
A143
 
4.4%
y124
 
3.8%
n124
 
3.8%
o124
 
3.8%
Other values (7)459
14.0%
Common
ValueCountFrequency (%)
124
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e721
21.3%
r512
15.1%
g457
13.5%
a245
 
7.2%
l179
 
5.3%
t179
 
5.3%
A143
 
4.2%
124
 
3.7%
y124
 
3.7%
n124
 
3.7%
Other values (8)583
17.2%

More restaurant choices
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
169 
Strongly agree
104 
Neutral
55 
Disagree
45 
Strongly disagree
 
15

Length

Max length17
Median length14
Mean length8.507731959
Min length5

Characters and Unicode

Total characters3301
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowStrongly agree
4th rowStrongly agree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree169
43.6%
Strongly agree104
26.8%
Neutral55
 
14.2%
Disagree45
 
11.6%
Strongly disagree15
 
3.9%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree273
53.8%
strongly119
23.5%
disagree60
 
11.8%
neutral55
 
10.8%

Most occurring characters

ValueCountFrequency (%)
e721
21.8%
r507
15.4%
g452
13.7%
a219
 
6.6%
l174
 
5.3%
t174
 
5.3%
A169
 
5.1%
119
 
3.6%
y119
 
3.6%
n119
 
3.6%
Other values (8)528
16.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2794
84.6%
Uppercase Letter388
 
11.8%
Space Separator119
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e721
25.8%
r507
18.1%
g452
16.2%
a219
 
7.8%
l174
 
6.2%
t174
 
6.2%
y119
 
4.3%
n119
 
4.3%
o119
 
4.3%
i60
 
2.1%
Other values (3)130
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A169
43.6%
S119
30.7%
N55
 
14.2%
D45
 
11.6%
Space Separator
ValueCountFrequency (%)
119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3182
96.4%
Common119
 
3.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e721
22.7%
r507
15.9%
g452
14.2%
a219
 
6.9%
l174
 
5.5%
t174
 
5.5%
A169
 
5.3%
y119
 
3.7%
n119
 
3.7%
o119
 
3.7%
Other values (7)409
12.9%
Common
ValueCountFrequency (%)
119
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e721
21.8%
r507
15.4%
g452
13.7%
a219
 
6.6%
l174
 
5.3%
t174
 
5.3%
A169
 
5.1%
119
 
3.6%
y119
 
3.6%
n119
 
3.6%
Other values (8)528
16.0%

Easy Payment option
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
143 
Strongly agree
93 
Neutral
76 
Disagree
52 
Strongly disagree
24 

Length

Max length17
Median length14
Mean length8.693298969
Min length5

Characters and Unicode

Total characters3373
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowNeutral
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree143
36.9%
Strongly agree93
24.0%
Neutral76
19.6%
Disagree52
 
13.4%
Strongly disagree24
 
6.2%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree236
46.7%
strongly117
23.2%
neutral76
 
15.0%
disagree76
 
15.0%

Most occurring characters

ValueCountFrequency (%)
e700
20.8%
r505
15.0%
g429
12.7%
a245
 
7.3%
l193
 
5.7%
t193
 
5.7%
A143
 
4.2%
117
 
3.5%
y117
 
3.5%
n117
 
3.5%
Other values (8)614
18.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2868
85.0%
Uppercase Letter388
 
11.5%
Space Separator117
 
3.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e700
24.4%
r505
17.6%
g429
15.0%
a245
 
8.5%
l193
 
6.7%
t193
 
6.7%
y117
 
4.1%
n117
 
4.1%
o117
 
4.1%
u76
 
2.6%
Other values (3)176
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A143
36.9%
S117
30.2%
N76
19.6%
D52
 
13.4%
Space Separator
ValueCountFrequency (%)
117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3256
96.5%
Common117
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e700
21.5%
r505
15.5%
g429
13.2%
a245
 
7.5%
l193
 
5.9%
t193
 
5.9%
A143
 
4.4%
y117
 
3.6%
n117
 
3.6%
o117
 
3.6%
Other values (7)497
15.3%
Common
ValueCountFrequency (%)
117
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3373
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e700
20.8%
r505
15.0%
g429
12.7%
a245
 
7.3%
l193
 
5.7%
t193
 
5.7%
A143
 
4.2%
117
 
3.5%
y117
 
3.5%
n117
 
3.5%
Other values (8)614
18.2%

More Offers and Discount
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
132 
Strongly agree
94 
Neutral
76 
Disagree
63 
Strongly disagree
23 

Length

Max length17
Median length14
Mean length8.770618557
Min length5

Characters and Unicode

Total characters3403
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowNeutral
4th rowStrongly agree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree132
34.0%
Strongly agree94
24.2%
Neutral76
19.6%
Disagree63
16.2%
Strongly disagree23
 
5.9%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree226
44.8%
strongly117
23.2%
disagree86
 
17.0%
neutral76
 
15.0%

Most occurring characters

ValueCountFrequency (%)
e700
20.6%
r505
14.8%
g429
12.6%
a256
 
7.5%
l193
 
5.7%
t193
 
5.7%
A132
 
3.9%
117
 
3.4%
y117
 
3.4%
n117
 
3.4%
Other values (8)644
18.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2898
85.2%
Uppercase Letter388
 
11.4%
Space Separator117
 
3.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e700
24.2%
r505
17.4%
g429
14.8%
a256
 
8.8%
l193
 
6.7%
t193
 
6.7%
y117
 
4.0%
n117
 
4.0%
o117
 
4.0%
i86
 
3.0%
Other values (3)185
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A132
34.0%
S117
30.2%
N76
19.6%
D63
16.2%
Space Separator
ValueCountFrequency (%)
117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3286
96.6%
Common117
 
3.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e700
21.3%
r505
15.4%
g429
13.1%
a256
 
7.8%
l193
 
5.9%
t193
 
5.9%
A132
 
4.0%
y117
 
3.6%
n117
 
3.6%
o117
 
3.6%
Other values (7)527
16.0%
Common
ValueCountFrequency (%)
117
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e700
20.6%
r505
14.8%
g429
12.6%
a256
 
7.5%
l193
 
5.7%
t193
 
5.7%
A132
 
3.9%
117
 
3.4%
y117
 
3.4%
n117
 
3.4%
Other values (8)644
18.9%

Good Food quality
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
141 
Neutral
112 
Strongly agree
68 
Disagree
49 
Strongly disagree
18 

Length

Max length17
Median length14
Mean length8.090206186
Min length5

Characters and Unicode

Total characters3139
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowNeutral
3rd rowDisagree
4th rowAgree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Agree141
36.3%
Neutral112
28.9%
Strongly agree68
17.5%
Disagree49
 
12.6%
Strongly disagree18
 
4.6%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree209
44.1%
neutral112
23.6%
strongly86
18.1%
disagree67
 
14.1%

Most occurring characters

ValueCountFrequency (%)
e664
21.2%
r474
15.1%
g362
11.5%
a247
 
7.9%
t198
 
6.3%
l198
 
6.3%
A141
 
4.5%
N112
 
3.6%
u112
 
3.6%
y86
 
2.7%
Other values (8)545
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2665
84.9%
Uppercase Letter388
 
12.4%
Space Separator86
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e664
24.9%
r474
17.8%
g362
13.6%
a247
 
9.3%
t198
 
7.4%
l198
 
7.4%
u112
 
4.2%
y86
 
3.2%
n86
 
3.2%
o86
 
3.2%
Other values (3)152
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A141
36.3%
N112
28.9%
S86
22.2%
D49
 
12.6%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3053
97.3%
Common86
 
2.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e664
21.7%
r474
15.5%
g362
11.9%
a247
 
8.1%
t198
 
6.5%
l198
 
6.5%
A141
 
4.6%
N112
 
3.7%
u112
 
3.7%
y86
 
2.8%
Other values (7)459
15.0%
Common
ValueCountFrequency (%)
86
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e664
21.2%
r474
15.1%
g362
11.5%
a247
 
7.9%
t198
 
6.3%
l198
 
6.3%
A141
 
4.5%
N112
 
3.6%
u112
 
3.6%
y86
 
2.7%
Other values (8)545
17.4%

Good Tracking system
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
161 
Strongly agree
111 
Neutral
68 
Disagree
27 
Strongly disagree
21 

Length

Max length17
Median length14
Mean length8.783505155
Min length5

Characters and Unicode

Total characters3408
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowAgree
3rd rowNeutral
4th rowAgree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Agree161
41.5%
Strongly agree111
28.6%
Neutral68
17.5%
Disagree27
 
7.0%
Strongly disagree21
 
5.4%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree272
52.3%
strongly132
25.4%
neutral68
 
13.1%
disagree48
 
9.2%

Most occurring characters

ValueCountFrequency (%)
e708
20.8%
r520
15.3%
g452
13.3%
a227
 
6.7%
l200
 
5.9%
t200
 
5.9%
A161
 
4.7%
132
 
3.9%
y132
 
3.9%
n132
 
3.9%
Other values (8)544
16.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2888
84.7%
Uppercase Letter388
 
11.4%
Space Separator132
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e708
24.5%
r520
18.0%
g452
15.7%
a227
 
7.9%
l200
 
6.9%
t200
 
6.9%
y132
 
4.6%
n132
 
4.6%
o132
 
4.6%
u68
 
2.4%
Other values (3)117
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A161
41.5%
S132
34.0%
N68
17.5%
D27
 
7.0%
Space Separator
ValueCountFrequency (%)
132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3276
96.1%
Common132
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e708
21.6%
r520
15.9%
g452
13.8%
a227
 
6.9%
l200
 
6.1%
t200
 
6.1%
A161
 
4.9%
y132
 
4.0%
n132
 
4.0%
o132
 
4.0%
Other values (7)412
12.6%
Common
ValueCountFrequency (%)
132
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e708
20.8%
r520
15.3%
g452
13.3%
a227
 
6.7%
l200
 
5.9%
t200
 
5.9%
A161
 
4.7%
132
 
3.9%
y132
 
3.9%
n132
 
3.9%
Other values (8)544
16.0%

Self Cooking
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
166 
Disagree
140 
Neutral
48 
Strongly agree
19 
Strongly disagree
 
15

Length

Max length17
Median length14
Mean length7.234536082
Min length5

Characters and Unicode

Total characters2807
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowDisagree
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree166
42.8%
Disagree140
36.1%
Neutral48
 
12.4%
Strongly agree19
 
4.9%
Strongly disagree15
 
3.9%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree185
43.8%
disagree155
36.7%
neutral48
 
11.4%
strongly34
 
8.1%

Most occurring characters

ValueCountFrequency (%)
e728
25.9%
r422
15.0%
g374
13.3%
a222
 
7.9%
A166
 
5.9%
i155
 
5.5%
s155
 
5.5%
D140
 
5.0%
t82
 
2.9%
l82
 
2.9%
Other values (8)281
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2385
85.0%
Uppercase Letter388
 
13.8%
Space Separator34
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e728
30.5%
r422
17.7%
g374
15.7%
a222
 
9.3%
i155
 
6.5%
s155
 
6.5%
t82
 
3.4%
l82
 
3.4%
u48
 
2.0%
o34
 
1.4%
Other values (3)83
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A166
42.8%
D140
36.1%
N48
 
12.4%
S34
 
8.8%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2773
98.8%
Common34
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e728
26.3%
r422
15.2%
g374
13.5%
a222
 
8.0%
A166
 
6.0%
i155
 
5.6%
s155
 
5.6%
D140
 
5.0%
t82
 
3.0%
l82
 
3.0%
Other values (7)247
 
8.9%
Common
ValueCountFrequency (%)
34
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e728
25.9%
r422
15.0%
g374
13.3%
a222
 
7.9%
A166
 
5.9%
i155
 
5.5%
s155
 
5.5%
D140
 
5.0%
t82
 
2.9%
l82
 
2.9%
Other values (8)281
 
10.0%

Health Concern
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
121 
Disagree
119 
Neutral
68 
Strongly agree
67 
Strongly disagree
13 

Length

Max length17
Median length14
Mean length8.226804124
Min length5

Characters and Unicode

Total characters3192
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowNeutral
4th rowStrongly agree
5th rowStrongly agree

Common Values

ValueCountFrequency (%)
Agree121
31.2%
Disagree119
30.7%
Neutral68
17.5%
Strongly agree67
17.3%
Strongly disagree13
 
3.4%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree188
40.2%
disagree132
28.2%
strongly80
17.1%
neutral68
 
14.5%

Most occurring characters

ValueCountFrequency (%)
e708
22.2%
r468
14.7%
g400
12.5%
a267
 
8.4%
t148
 
4.6%
l148
 
4.6%
i132
 
4.1%
s132
 
4.1%
A121
 
3.8%
D119
 
3.7%
Other values (8)549
17.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2724
85.3%
Uppercase Letter388
 
12.2%
Space Separator80
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e708
26.0%
r468
17.2%
g400
14.7%
a267
 
9.8%
t148
 
5.4%
l148
 
5.4%
i132
 
4.8%
s132
 
4.8%
y80
 
2.9%
o80
 
2.9%
Other values (3)161
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A121
31.2%
D119
30.7%
S80
20.6%
N68
17.5%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3112
97.5%
Common80
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e708
22.8%
r468
15.0%
g400
12.9%
a267
 
8.6%
t148
 
4.8%
l148
 
4.8%
i132
 
4.2%
s132
 
4.2%
A121
 
3.9%
D119
 
3.8%
Other values (7)469
15.1%
Common
ValueCountFrequency (%)
80
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e708
22.2%
r468
14.7%
g400
12.5%
a267
 
8.4%
t148
 
4.6%
l148
 
4.6%
i132
 
4.1%
s132
 
4.1%
A121
 
3.8%
D119
 
3.7%
Other values (8)549
17.2%

Late Delivery
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
163 
Neutral
87 
Disagree
74 
Strongly disagree
33 
Strongly agree
31 

Length

Max length17
Median length14
Mean length7.760309278
Min length5

Characters and Unicode

Total characters3011
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowAgree
3rd rowNeutral
4th rowNeutral
5th rowStrongly agree

Common Values

ValueCountFrequency (%)
Agree163
42.0%
Neutral87
22.4%
Disagree74
19.1%
Strongly disagree33
 
8.5%
Strongly agree31
 
8.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree194
42.9%
disagree107
23.7%
neutral87
19.2%
strongly64
 
14.2%

Most occurring characters

ValueCountFrequency (%)
e689
22.9%
r452
15.0%
g365
12.1%
a225
 
7.5%
A163
 
5.4%
t151
 
5.0%
l151
 
5.0%
s107
 
3.6%
i107
 
3.6%
N87
 
2.9%
Other values (8)514
17.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2559
85.0%
Uppercase Letter388
 
12.9%
Space Separator64
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e689
26.9%
r452
17.7%
g365
14.3%
a225
 
8.8%
t151
 
5.9%
l151
 
5.9%
s107
 
4.2%
i107
 
4.2%
u87
 
3.4%
o64
 
2.5%
Other values (3)161
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
A163
42.0%
N87
22.4%
D74
19.1%
S64
 
16.5%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2947
97.9%
Common64
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e689
23.4%
r452
15.3%
g365
12.4%
a225
 
7.6%
A163
 
5.5%
t151
 
5.1%
l151
 
5.1%
s107
 
3.6%
i107
 
3.6%
N87
 
3.0%
Other values (7)450
15.3%
Common
ValueCountFrequency (%)
64
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e689
22.9%
r452
15.0%
g365
12.1%
a225
 
7.5%
A163
 
5.4%
t151
 
5.0%
l151
 
5.0%
s107
 
3.6%
i107
 
3.6%
N87
 
2.9%
Other values (8)514
17.1%

Poor Hygiene
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Disagree
112 
Agree
110 
Neutral
88 
Strongly agree
52 
Strongly disagree
26 

Length

Max length17
Median length14
Mean length8.329896907
Min length5

Characters and Unicode

Total characters3232
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowAgree
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Disagree112
28.9%
Agree110
28.4%
Neutral88
22.7%
Strongly agree52
13.4%
Strongly disagree26
 
6.7%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree162
34.8%
disagree138
29.6%
neutral88
18.9%
strongly78
16.7%

Most occurring characters

ValueCountFrequency (%)
e688
21.3%
r466
14.4%
g378
11.7%
a278
8.6%
t166
 
5.1%
l166
 
5.1%
s138
 
4.3%
i138
 
4.3%
D112
 
3.5%
A110
 
3.4%
Other values (8)592
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2766
85.6%
Uppercase Letter388
 
12.0%
Space Separator78
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e688
24.9%
r466
16.8%
g378
13.7%
a278
10.1%
t166
 
6.0%
l166
 
6.0%
s138
 
5.0%
i138
 
5.0%
u88
 
3.2%
o78
 
2.8%
Other values (3)182
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
D112
28.9%
A110
28.4%
N88
22.7%
S78
20.1%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3154
97.6%
Common78
 
2.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e688
21.8%
r466
14.8%
g378
12.0%
a278
8.8%
t166
 
5.3%
l166
 
5.3%
s138
 
4.4%
i138
 
4.4%
D112
 
3.6%
A110
 
3.5%
Other values (7)514
16.3%
Common
ValueCountFrequency (%)
78
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e688
21.3%
r466
14.4%
g378
11.7%
a278
8.6%
t166
 
5.1%
l166
 
5.1%
s138
 
4.3%
i138
 
4.3%
D112
 
3.5%
A110
 
3.4%
Other values (8)592
18.3%

Bad past experience
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Disagree
143 
Agree
99 
Neutral
85 
Strongly agree
31 
Strongly disagree
30 

Length

Max length17
Median length14
Mean length8.190721649
Min length5

Characters and Unicode

Total characters3178
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowAgree
4th rowDisagree
5th rowStrongly agree

Common Values

ValueCountFrequency (%)
Disagree143
36.9%
Agree99
25.5%
Neutral85
21.9%
Strongly agree31
 
8.0%
Strongly disagree30
 
7.7%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
disagree173
38.5%
agree130
29.0%
neutral85
18.9%
strongly61
 
13.6%

Most occurring characters

ValueCountFrequency (%)
e691
21.7%
r449
14.1%
g364
11.5%
a289
9.1%
s173
 
5.4%
i173
 
5.4%
t146
 
4.6%
l146
 
4.6%
D143
 
4.5%
A99
 
3.1%
Other values (8)505
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2729
85.9%
Uppercase Letter388
 
12.2%
Space Separator61
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e691
25.3%
r449
16.5%
g364
13.3%
a289
10.6%
s173
 
6.3%
i173
 
6.3%
t146
 
5.3%
l146
 
5.3%
u85
 
3.1%
o61
 
2.2%
Other values (3)152
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
D143
36.9%
A99
25.5%
N85
21.9%
S61
15.7%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3117
98.1%
Common61
 
1.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e691
22.2%
r449
14.4%
g364
11.7%
a289
9.3%
s173
 
5.6%
i173
 
5.6%
t146
 
4.7%
l146
 
4.7%
D143
 
4.6%
A99
 
3.2%
Other values (7)444
14.2%
Common
ValueCountFrequency (%)
61
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e691
21.7%
r449
14.1%
g364
11.5%
a289
9.1%
s173
 
5.4%
i173
 
5.4%
t146
 
4.6%
l146
 
4.6%
D143
 
4.5%
A99
 
3.1%
Other values (8)505
15.9%

Unavailability
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Disagree
126 
Agree
95 
Neutral
73 
Strongly disagree
63 
Strongly agree
31 

Length

Max length17
Median length14
Mean length9.018041237
Min length5

Characters and Unicode

Total characters3499
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowAgree
4th rowDisagree
5th rowAgree

Common Values

ValueCountFrequency (%)
Disagree126
32.5%
Agree95
24.5%
Neutral73
18.8%
Strongly disagree63
16.2%
Strongly agree31
 
8.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
disagree189
39.2%
agree126
26.1%
strongly94
19.5%
neutral73
 
15.1%

Most occurring characters

ValueCountFrequency (%)
e703
20.1%
r482
13.8%
g409
11.7%
a293
8.4%
s189
 
5.4%
i189
 
5.4%
t167
 
4.8%
l167
 
4.8%
D126
 
3.6%
A95
 
2.7%
Other values (8)679
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3017
86.2%
Uppercase Letter388
 
11.1%
Space Separator94
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e703
23.3%
r482
16.0%
g409
13.6%
a293
9.7%
s189
 
6.3%
i189
 
6.3%
t167
 
5.5%
l167
 
5.5%
y94
 
3.1%
o94
 
3.1%
Other values (3)230
 
7.6%
Uppercase Letter
ValueCountFrequency (%)
D126
32.5%
A95
24.5%
S94
24.2%
N73
18.8%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3405
97.3%
Common94
 
2.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e703
20.6%
r482
14.2%
g409
12.0%
a293
8.6%
s189
 
5.6%
i189
 
5.6%
t167
 
4.9%
l167
 
4.9%
D126
 
3.7%
A95
 
2.8%
Other values (7)585
17.2%
Common
ValueCountFrequency (%)
94
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e703
20.1%
r482
13.8%
g409
11.7%
a293
8.4%
s189
 
5.4%
i189
 
5.4%
t167
 
4.8%
l167
 
4.8%
D126
 
3.6%
A95
 
2.7%
Other values (8)679
19.4%

Unaffordable
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Disagree
153 
Strongly disagree
82 
Agree
63 
Neutral
62 
Strongly agree
28 

Length

Max length17
Median length14
Mean length9.68814433
Min length5

Characters and Unicode

Total characters3759
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly agree
3rd rowAgree
4th rowNeutral
5th rowDisagree

Common Values

ValueCountFrequency (%)
Disagree153
39.4%
Strongly disagree82
21.1%
Agree63
16.2%
Neutral62
16.0%
Strongly agree28
 
7.2%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
disagree235
47.2%
strongly110
22.1%
agree91
 
18.3%
neutral62
 
12.4%

Most occurring characters

ValueCountFrequency (%)
e714
19.0%
r498
13.2%
g436
11.6%
a325
8.6%
s235
 
6.3%
i235
 
6.3%
l172
 
4.6%
t172
 
4.6%
D153
 
4.1%
110
 
2.9%
Other values (8)709
18.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3261
86.8%
Uppercase Letter388
 
10.3%
Space Separator110
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e714
21.9%
r498
15.3%
g436
13.4%
a325
10.0%
s235
 
7.2%
i235
 
7.2%
l172
 
5.3%
t172
 
5.3%
y110
 
3.4%
o110
 
3.4%
Other values (3)254
 
7.8%
Uppercase Letter
ValueCountFrequency (%)
D153
39.4%
S110
28.4%
A63
16.2%
N62
16.0%
Space Separator
ValueCountFrequency (%)
110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3649
97.1%
Common110
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e714
19.6%
r498
13.6%
g436
11.9%
a325
8.9%
s235
 
6.4%
i235
 
6.4%
l172
 
4.7%
t172
 
4.7%
D153
 
4.2%
y110
 
3.0%
Other values (7)599
16.4%
Common
ValueCountFrequency (%)
110
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e714
19.0%
r498
13.2%
g436
11.6%
a325
8.6%
s235
 
6.3%
i235
 
6.3%
l172
 
4.6%
t172
 
4.6%
D153
 
4.1%
110
 
2.9%
Other values (8)709
18.9%

Long delivery time
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
185 
Disagree
108 
Neutral
46 
Strongly agree
42 
Strongly disagree
 
7

Length

Max length17
Median length14
Mean length7.262886598
Min length5

Characters and Unicode

Total characters2818
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowStrongly agree
3rd rowAgree
4th rowAgree
5th rowStrongly agree

Common Values

ValueCountFrequency (%)
Agree185
47.7%
Disagree108
27.8%
Neutral46
 
11.9%
Strongly agree42
 
10.8%
Strongly disagree7
 
1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree227
51.9%
disagree115
26.3%
strongly49
 
11.2%
neutral46
 
10.5%

Most occurring characters

ValueCountFrequency (%)
e730
25.9%
r437
15.5%
g391
13.9%
a203
 
7.2%
A185
 
6.6%
i115
 
4.1%
s115
 
4.1%
D108
 
3.8%
t95
 
3.4%
l95
 
3.4%
Other values (8)344
12.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2381
84.5%
Uppercase Letter388
 
13.8%
Space Separator49
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e730
30.7%
r437
18.4%
g391
16.4%
a203
 
8.5%
i115
 
4.8%
s115
 
4.8%
t95
 
4.0%
l95
 
4.0%
y49
 
2.1%
o49
 
2.1%
Other values (3)102
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A185
47.7%
D108
27.8%
S49
 
12.6%
N46
 
11.9%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2769
98.3%
Common49
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e730
26.4%
r437
15.8%
g391
14.1%
a203
 
7.3%
A185
 
6.7%
i115
 
4.2%
s115
 
4.2%
D108
 
3.9%
t95
 
3.4%
l95
 
3.4%
Other values (7)295
10.7%
Common
ValueCountFrequency (%)
49
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e730
25.9%
r437
15.5%
g391
13.9%
a203
 
7.2%
A185
 
6.6%
i115
 
4.1%
s115
 
4.1%
D108
 
3.8%
t95
 
3.4%
l95
 
3.4%
Other values (8)344
12.2%
Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
142 
Neutral
104 
Disagree
68 
Strongly agree
56 
Strongly disagree
18 

Length

Max length17
Median length14
Mean length7.917525773
Min length5

Characters and Unicode

Total characters3072
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowStrongly agree
3rd rowAgree
4th rowAgree
5th rowStrongly agree

Common Values

ValueCountFrequency (%)
Agree142
36.6%
Neutral104
26.8%
Disagree68
17.5%
Strongly agree56
 
14.4%
Strongly disagree18
 
4.6%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree198
42.9%
neutral104
22.5%
disagree86
18.6%
strongly74
 
16.0%

Most occurring characters

ValueCountFrequency (%)
e672
21.9%
r462
15.0%
g358
11.7%
a246
 
8.0%
t178
 
5.8%
l178
 
5.8%
A142
 
4.6%
N104
 
3.4%
u104
 
3.4%
i86
 
2.8%
Other values (8)542
17.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2610
85.0%
Uppercase Letter388
 
12.6%
Space Separator74
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e672
25.7%
r462
17.7%
g358
13.7%
a246
 
9.4%
t178
 
6.8%
l178
 
6.8%
u104
 
4.0%
i86
 
3.3%
s86
 
3.3%
o74
 
2.8%
Other values (3)166
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A142
36.6%
N104
26.8%
S74
19.1%
D68
17.5%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2998
97.6%
Common74
 
2.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e672
22.4%
r462
15.4%
g358
11.9%
a246
 
8.2%
t178
 
5.9%
l178
 
5.9%
A142
 
4.7%
N104
 
3.5%
u104
 
3.5%
i86
 
2.9%
Other values (7)468
15.6%
Common
ValueCountFrequency (%)
74
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e672
21.9%
r462
15.0%
g358
11.7%
a246
 
8.0%
t178
 
5.8%
l178
 
5.8%
A142
 
4.6%
N104
 
3.4%
u104
 
3.4%
i86
 
2.8%
Other values (8)542
17.6%

Delay of delivery person picking up food
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
189 
Neutral
78 
Disagree
61 
Strongly agree
44 
Strongly disagree
 
16

Length

Max length17
Median length14
Mean length7.389175258
Min length5

Characters and Unicode

Total characters2867
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowStrongly agree
3rd rowAgree
4th rowAgree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Agree189
48.7%
Neutral78
20.1%
Disagree61
 
15.7%
Strongly agree44
 
11.3%
Strongly disagree16
 
4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree233
52.0%
neutral78
 
17.4%
disagree77
 
17.2%
strongly60
 
13.4%

Most occurring characters

ValueCountFrequency (%)
e698
24.3%
r448
15.6%
g370
12.9%
a199
 
6.9%
A189
 
6.6%
t138
 
4.8%
l138
 
4.8%
N78
 
2.7%
u78
 
2.7%
s77
 
2.7%
Other values (8)454
15.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2419
84.4%
Uppercase Letter388
 
13.5%
Space Separator60
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e698
28.9%
r448
18.5%
g370
15.3%
a199
 
8.2%
t138
 
5.7%
l138
 
5.7%
u78
 
3.2%
s77
 
3.2%
i77
 
3.2%
o60
 
2.5%
Other values (3)136
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A189
48.7%
N78
20.1%
D61
 
15.7%
S60
 
15.5%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2807
97.9%
Common60
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e698
24.9%
r448
16.0%
g370
13.2%
a199
 
7.1%
A189
 
6.7%
t138
 
4.9%
l138
 
4.9%
N78
 
2.8%
u78
 
2.8%
s77
 
2.7%
Other values (7)394
14.0%
Common
ValueCountFrequency (%)
60
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2867
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e698
24.3%
r448
15.6%
g370
12.9%
a199
 
6.9%
A189
 
6.6%
t138
 
4.8%
l138
 
4.8%
N78
 
2.7%
u78
 
2.7%
s77
 
2.7%
Other values (8)454
15.8%

Wrong order delivered
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Disagree
129 
Agree
91 
Neutral
65 
Strongly agree
53 
Strongly disagree
50 

Length

Max length17
Median length14
Mean length9.108247423
Min length5

Characters and Unicode

Total characters3534
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowStrongly agree
3rd rowStrongly agree
4th rowDisagree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Disagree129
33.2%
Agree91
23.5%
Neutral65
16.8%
Strongly agree53
13.7%
Strongly disagree50
 
12.9%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
disagree179
36.5%
agree144
29.3%
strongly103
21.0%
neutral65
 
13.2%

Most occurring characters

ValueCountFrequency (%)
e711
20.1%
r491
13.9%
g426
12.1%
a297
8.4%
s179
 
5.1%
i179
 
5.1%
t168
 
4.8%
l168
 
4.8%
D129
 
3.7%
y103
 
2.9%
Other values (8)683
19.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3043
86.1%
Uppercase Letter388
 
11.0%
Space Separator103
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e711
23.4%
r491
16.1%
g426
14.0%
a297
9.8%
s179
 
5.9%
i179
 
5.9%
t168
 
5.5%
l168
 
5.5%
y103
 
3.4%
o103
 
3.4%
Other values (3)218
 
7.2%
Uppercase Letter
ValueCountFrequency (%)
D129
33.2%
S103
26.5%
A91
23.5%
N65
16.8%
Space Separator
ValueCountFrequency (%)
103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3431
97.1%
Common103
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e711
20.7%
r491
14.3%
g426
12.4%
a297
8.7%
s179
 
5.2%
i179
 
5.2%
t168
 
4.9%
l168
 
4.9%
D129
 
3.8%
y103
 
3.0%
Other values (7)580
16.9%
Common
ValueCountFrequency (%)
103
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e711
20.1%
r491
13.9%
g426
12.1%
a297
8.4%
s179
 
5.1%
i179
 
5.1%
t168
 
4.8%
l168
 
4.8%
D129
 
3.7%
y103
 
2.9%
Other values (8)683
19.3%

Missing item
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Disagree
138 
Agree
74 
Strongly agree
66 
Neutral
62 
Strongly disagree
48 

Length

Max length17
Median length14
Mean length9.402061856
Min length5

Characters and Unicode

Total characters3648
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowStrongly agree
3rd rowAgree
4th rowDisagree
5th rowNeutral

Common Values

ValueCountFrequency (%)
Disagree138
35.6%
Agree74
19.1%
Strongly agree66
17.0%
Neutral62
16.0%
Strongly disagree48
 
12.4%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
disagree186
37.1%
agree140
27.9%
strongly114
22.7%
neutral62
 
12.4%

Most occurring characters

ValueCountFrequency (%)
e714
19.6%
r502
13.8%
g440
12.1%
a314
8.6%
i186
 
5.1%
s186
 
5.1%
t176
 
4.8%
l176
 
4.8%
D138
 
3.8%
S114
 
3.1%
Other values (8)702
19.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3146
86.2%
Uppercase Letter388
 
10.6%
Space Separator114
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e714
22.7%
r502
16.0%
g440
14.0%
a314
10.0%
i186
 
5.9%
s186
 
5.9%
t176
 
5.6%
l176
 
5.6%
o114
 
3.6%
n114
 
3.6%
Other values (3)224
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
D138
35.6%
S114
29.4%
A74
19.1%
N62
16.0%
Space Separator
ValueCountFrequency (%)
114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3534
96.9%
Common114
 
3.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e714
20.2%
r502
14.2%
g440
12.5%
a314
8.9%
i186
 
5.3%
s186
 
5.3%
t176
 
5.0%
l176
 
5.0%
D138
 
3.9%
S114
 
3.2%
Other values (7)588
16.6%
Common
ValueCountFrequency (%)
114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e714
19.6%
r502
13.8%
g440
12.1%
a314
8.6%
i186
 
5.1%
s186
 
5.1%
t176
 
4.8%
l176
 
4.8%
D138
 
3.8%
S114
 
3.1%
Other values (8)702
19.2%

Order placed by mistake
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Disagree
126 
Strongly disagree
87 
Agree
69 
Neutral
65 
Strongly agree
41 

Length

Max length17
Median length14
Mean length9.951030928
Min length5

Characters and Unicode

Total characters3861
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowStrongly agree
3rd rowNeutral
4th rowNeutral
5th rowDisagree

Common Values

ValueCountFrequency (%)
Disagree126
32.5%
Strongly disagree87
22.4%
Agree69
17.8%
Neutral65
16.8%
Strongly agree41
 
10.6%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
disagree213
41.3%
strongly128
24.8%
agree110
21.3%
neutral65
 
12.6%

Most occurring characters

ValueCountFrequency (%)
e711
18.4%
r516
13.4%
g451
11.7%
a319
8.3%
s213
 
5.5%
i213
 
5.5%
t193
 
5.0%
l193
 
5.0%
o128
 
3.3%
128
 
3.3%
Other values (8)796
20.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3345
86.6%
Uppercase Letter388
 
10.0%
Space Separator128
 
3.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e711
21.3%
r516
15.4%
g451
13.5%
a319
9.5%
s213
 
6.4%
i213
 
6.4%
t193
 
5.8%
l193
 
5.8%
o128
 
3.8%
n128
 
3.8%
Other values (3)280
 
8.4%
Uppercase Letter
ValueCountFrequency (%)
S128
33.0%
D126
32.5%
A69
17.8%
N65
16.8%
Space Separator
ValueCountFrequency (%)
128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3733
96.7%
Common128
 
3.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e711
19.0%
r516
13.8%
g451
12.1%
a319
8.5%
s213
 
5.7%
i213
 
5.7%
t193
 
5.2%
l193
 
5.2%
o128
 
3.4%
S128
 
3.4%
Other values (7)668
17.9%
Common
ValueCountFrequency (%)
128
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e711
18.4%
r516
13.4%
g451
11.7%
a319
8.3%
s213
 
5.5%
i213
 
5.5%
t193
 
5.0%
l193
 
5.0%
o128
 
3.3%
128
 
3.3%
Other values (8)796
20.6%
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Yes
301 
No
48 
Maybe
39 

Length

Max length5
Median length3
Mean length3.077319588
Min length2

Characters and Unicode

Total characters1194
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes301
77.6%
No48
 
12.4%
Maybe39
 
10.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
yes301
77.6%
no48
 
12.4%
maybe39
 
10.1%

Most occurring characters

ValueCountFrequency (%)
e340
28.5%
Y301
25.2%
s301
25.2%
N48
 
4.0%
o48
 
4.0%
M39
 
3.3%
a39
 
3.3%
y39
 
3.3%
b39
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter806
67.5%
Uppercase Letter388
32.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e340
42.2%
s301
37.3%
o48
 
6.0%
a39
 
4.8%
y39
 
4.8%
b39
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
Y301
77.6%
N48
 
12.4%
M39
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Latin1194
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e340
28.5%
Y301
25.2%
s301
25.2%
N48
 
4.0%
o48
 
4.0%
M39
 
3.3%
a39
 
3.3%
y39
 
3.3%
b39
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e340
28.5%
Y301
25.2%
s301
25.2%
N48
 
4.0%
o48
 
4.0%
M39
 
3.3%
a39
 
3.3%
y39
 
3.3%
b39
 
3.3%

Order Time
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Anytime (Mon-Sun)
269 
Weekend (Sat & Sun)
102 
Weekdays (Mon-Fri)
 
17

Length

Max length19
Median length17
Mean length17.56958763
Min length17

Characters and Unicode

Total characters6817
Distinct characters23
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWeekend (Sat & Sun)
2nd rowAnytime (Mon-Sun)
3rd rowAnytime (Mon-Sun)
4th rowAnytime (Mon-Sun)
5th rowWeekend (Sat & Sun)

Common Values

ValueCountFrequency (%)
Anytime (Mon-Sun)269
69.3%
Weekend (Sat & Sun)102
 
26.3%
Weekdays (Mon-Fri)17
 
4.4%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
anytime269
27.4%
mon-sun269
27.4%
weekend102
 
10.4%
sat102
 
10.4%
102
 
10.4%
sun102
 
10.4%
weekdays17
 
1.7%
mon-fri17
 
1.7%

Most occurring characters

ValueCountFrequency (%)
n1028
15.1%
e609
 
8.9%
592
 
8.7%
S473
 
6.9%
)388
 
5.7%
(388
 
5.7%
u371
 
5.4%
t371
 
5.4%
-286
 
4.2%
y286
 
4.2%
Other values (13)2025
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3897
57.2%
Uppercase Letter1164
 
17.1%
Space Separator592
 
8.7%
Close Punctuation388
 
5.7%
Open Punctuation388
 
5.7%
Dash Punctuation286
 
4.2%
Other Punctuation102
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n1028
26.4%
e609
15.6%
u371
 
9.5%
t371
 
9.5%
y286
 
7.3%
i286
 
7.3%
o286
 
7.3%
m269
 
6.9%
k119
 
3.1%
d119
 
3.1%
Other values (3)153
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
S473
40.6%
M286
24.6%
A269
23.1%
W119
 
10.2%
F17
 
1.5%
Space Separator
ValueCountFrequency (%)
592
100.0%
Close Punctuation
ValueCountFrequency (%)
)388
100.0%
Open Punctuation
ValueCountFrequency (%)
(388
100.0%
Dash Punctuation
ValueCountFrequency (%)
-286
100.0%
Other Punctuation
ValueCountFrequency (%)
&102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5061
74.2%
Common1756
 
25.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n1028
20.3%
e609
12.0%
S473
9.3%
u371
 
7.3%
t371
 
7.3%
y286
 
5.7%
i286
 
5.7%
M286
 
5.7%
o286
 
5.7%
A269
 
5.3%
Other values (8)796
15.7%
Common
ValueCountFrequency (%)
592
33.7%
)388
22.1%
(388
22.1%
-286
16.3%
&102
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII6817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n1028
15.1%
e609
 
8.9%
592
 
8.7%
S473
 
6.9%
)388
 
5.7%
(388
 
5.7%
u371
 
5.4%
t371
 
5.4%
-286
 
4.2%
y286
 
4.2%
Other values (13)2025
29.7%

Maximum wait time
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
45 minutes
154 
30 minutes
139 
15 minutes
40 
60 minutes
34 
More than 60 minutes
21 

Length

Max length20
Median length10
Mean length10.54123711
Min length10

Characters and Unicode

Total characters4090
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30 minutes
2nd row30 minutes
3rd row45 minutes
4th row30 minutes
5th row30 minutes

Common Values

ValueCountFrequency (%)
45 minutes154
39.7%
30 minutes139
35.8%
15 minutes40
 
10.3%
60 minutes34
 
8.8%
More than 60 minutes21
 
5.4%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
minutes388
47.4%
45154
 
18.8%
30139
 
17.0%
6055
 
6.7%
1540
 
4.9%
more21
 
2.6%
than21
 
2.6%

Most occurring characters

ValueCountFrequency (%)
430
10.5%
n409
10.0%
t409
10.0%
e409
10.0%
s388
9.5%
m388
9.5%
i388
9.5%
u388
9.5%
0194
 
4.7%
5194
 
4.7%
Other values (9)493
12.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2863
70.0%
Decimal Number776
 
19.0%
Space Separator430
 
10.5%
Uppercase Letter21
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n409
14.3%
t409
14.3%
e409
14.3%
s388
13.6%
m388
13.6%
i388
13.6%
u388
13.6%
o21
 
0.7%
r21
 
0.7%
h21
 
0.7%
Decimal Number
ValueCountFrequency (%)
0194
25.0%
5194
25.0%
4154
19.8%
3139
17.9%
655
 
7.1%
140
 
5.2%
Space Separator
ValueCountFrequency (%)
430
100.0%
Uppercase Letter
ValueCountFrequency (%)
M21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2884
70.5%
Common1206
29.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n409
14.2%
t409
14.2%
e409
14.2%
s388
13.5%
m388
13.5%
i388
13.5%
u388
13.5%
M21
 
0.7%
o21
 
0.7%
r21
 
0.7%
Other values (2)42
 
1.5%
Common
ValueCountFrequency (%)
430
35.7%
0194
16.1%
5194
16.1%
4154
 
12.8%
3139
 
11.5%
655
 
4.6%
140
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII4090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
10.5%
n409
10.0%
t409
10.0%
e409
10.0%
s388
9.5%
m388
9.5%
i388
9.5%
u388
9.5%
0194
 
4.7%
5194
 
4.7%
Other values (9)493
12.1%

Residence in busy location
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
266 
Neutral
50 
Disagree
35 
Strongly Agree
28 
Strongly disagree
 
9

Length

Max length17
Median length5
Mean length6.456185567
Min length5

Characters and Unicode

Total characters2505
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree
2nd rowStrongly Agree
3rd rowAgree
4th rowDisagree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree266
68.6%
Neutral50
 
12.9%
Disagree35
 
9.0%
Strongly Agree28
 
7.2%
Strongly disagree9
 
2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree294
69.2%
neutral50
 
11.8%
disagree44
 
10.4%
strongly37
 
8.7%

Most occurring characters

ValueCountFrequency (%)
e726
29.0%
r425
17.0%
g375
15.0%
A294
11.7%
a94
 
3.8%
t87
 
3.5%
l87
 
3.5%
N50
 
2.0%
u50
 
2.0%
i44
 
1.8%
Other values (8)273
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2052
81.9%
Uppercase Letter416
 
16.6%
Space Separator37
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e726
35.4%
r425
20.7%
g375
18.3%
a94
 
4.6%
t87
 
4.2%
l87
 
4.2%
u50
 
2.4%
i44
 
2.1%
s44
 
2.1%
o37
 
1.8%
Other values (3)83
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A294
70.7%
N50
 
12.0%
S37
 
8.9%
D35
 
8.4%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2468
98.5%
Common37
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e726
29.4%
r425
17.2%
g375
15.2%
A294
11.9%
a94
 
3.8%
t87
 
3.5%
l87
 
3.5%
N50
 
2.0%
u50
 
2.0%
i44
 
1.8%
Other values (7)236
 
9.6%
Common
ValueCountFrequency (%)
37
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e726
29.0%
r425
17.0%
g375
15.0%
A294
11.7%
a94
 
3.8%
t87
 
3.5%
l87
 
3.5%
N50
 
2.0%
u50
 
2.0%
i44
 
1.8%
Other values (8)273
 
10.9%

Google Maps Accuracy
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
137 
Strongly Agree
119 
Neutral
91 
Disagree
33 
Strongly disagree
 
8

Length

Max length17
Median length14
Mean length8.731958763
Min length5

Characters and Unicode

Total characters3388
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowNeutral
3rd rowStrongly Agree
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree137
35.3%
Strongly Agree119
30.7%
Neutral91
23.5%
Disagree33
 
8.5%
Strongly disagree8
 
2.1%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree256
49.7%
strongly127
24.7%
neutral91
 
17.7%
disagree41
 
8.0%

Most occurring characters

ValueCountFrequency (%)
e685
20.2%
r515
15.2%
g424
12.5%
A256
 
7.6%
l218
 
6.4%
t218
 
6.4%
a132
 
3.9%
127
 
3.7%
y127
 
3.7%
n127
 
3.7%
Other values (8)559
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2754
81.3%
Uppercase Letter507
 
15.0%
Space Separator127
 
3.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e685
24.9%
r515
18.7%
g424
15.4%
l218
 
7.9%
t218
 
7.9%
a132
 
4.8%
y127
 
4.6%
n127
 
4.6%
o127
 
4.6%
u91
 
3.3%
Other values (3)90
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
A256
50.5%
S127
25.0%
N91
 
17.9%
D33
 
6.5%
Space Separator
ValueCountFrequency (%)
127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3261
96.3%
Common127
 
3.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e685
21.0%
r515
15.8%
g424
13.0%
A256
 
7.9%
l218
 
6.7%
t218
 
6.7%
a132
 
4.0%
y127
 
3.9%
n127
 
3.9%
o127
 
3.9%
Other values (7)432
13.2%
Common
ValueCountFrequency (%)
127
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e685
20.2%
r515
15.2%
g424
12.5%
A256
 
7.6%
l218
 
6.4%
t218
 
6.4%
a132
 
3.9%
127
 
3.7%
y127
 
3.7%
n127
 
3.7%
Other values (8)559
16.5%

Good Road Condition
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
177 
Strongly Agree
87 
Neutral
76 
Disagree
41 
Strongly disagree
 
7

Length

Max length17
Median length14
Mean length7.943298969
Min length5

Characters and Unicode

Total characters3082
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowDisagree
3rd rowNeutral
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree177
45.6%
Strongly Agree87
22.4%
Neutral76
19.6%
Disagree41
 
10.6%
Strongly disagree7
 
1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree264
54.8%
strongly94
 
19.5%
neutral76
 
15.8%
disagree48
 
10.0%

Most occurring characters

ValueCountFrequency (%)
e700
22.7%
r482
15.6%
g406
13.2%
A264
 
8.6%
l170
 
5.5%
t170
 
5.5%
a124
 
4.0%
94
 
3.0%
y94
 
3.0%
n94
 
3.0%
Other values (8)484
15.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2513
81.5%
Uppercase Letter475
 
15.4%
Space Separator94
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e700
27.9%
r482
19.2%
g406
16.2%
l170
 
6.8%
t170
 
6.8%
a124
 
4.9%
y94
 
3.7%
n94
 
3.7%
o94
 
3.7%
u76
 
3.0%
Other values (3)103
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A264
55.6%
S94
 
19.8%
N76
 
16.0%
D41
 
8.6%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2988
97.0%
Common94
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e700
23.4%
r482
16.1%
g406
13.6%
A264
 
8.8%
l170
 
5.7%
t170
 
5.7%
a124
 
4.1%
y94
 
3.1%
n94
 
3.1%
o94
 
3.1%
Other values (7)390
13.1%
Common
ValueCountFrequency (%)
94
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3082
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e700
22.7%
r482
15.6%
g406
13.2%
A264
 
8.6%
l170
 
5.5%
t170
 
5.5%
a124
 
4.0%
94
 
3.0%
y94
 
3.0%
n94
 
3.0%
Other values (8)484
15.7%

Low quantity low time
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
169 
Neutral
97 
Disagree
61 
Strongly Agree
34 
Strongly disagree
27 

Length

Max length17
Median length14
Mean length7.595360825
Min length5

Characters and Unicode

Total characters2947
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowStrongly disagree
3rd rowNeutral
4th rowNeutral
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree169
43.6%
Neutral97
25.0%
Disagree61
 
15.7%
Strongly Agree34
 
8.8%
Strongly disagree27
 
7.0%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree203
45.2%
neutral97
21.6%
disagree88
19.6%
strongly61
 
13.6%

Most occurring characters

ValueCountFrequency (%)
e679
23.0%
r449
15.2%
g352
11.9%
A203
 
6.9%
a185
 
6.3%
t158
 
5.4%
l158
 
5.4%
N97
 
3.3%
u97
 
3.3%
i88
 
3.0%
Other values (8)481
16.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2464
83.6%
Uppercase Letter422
 
14.3%
Space Separator61
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e679
27.6%
r449
18.2%
g352
14.3%
a185
 
7.5%
t158
 
6.4%
l158
 
6.4%
u97
 
3.9%
i88
 
3.6%
s88
 
3.6%
n61
 
2.5%
Other values (3)149
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A203
48.1%
N97
23.0%
D61
 
14.5%
S61
 
14.5%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2886
97.9%
Common61
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e679
23.5%
r449
15.6%
g352
12.2%
A203
 
7.0%
a185
 
6.4%
t158
 
5.5%
l158
 
5.5%
N97
 
3.4%
u97
 
3.4%
i88
 
3.0%
Other values (7)420
14.6%
Common
ValueCountFrequency (%)
61
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e679
23.0%
r449
15.2%
g352
11.9%
A203
 
6.9%
a185
 
6.3%
t158
 
5.4%
l158
 
5.4%
N97
 
3.3%
u97
 
3.3%
i88
 
3.0%
Other values (8)481
16.3%

Delivery person ability
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Agree
163 
Strongly Agree
87 
Neutral
80 
Disagree
52 
Strongly disagree
 
6

Length

Max length17
Median length14
Mean length8.018041237
Min length5

Characters and Unicode

Total characters3111
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNeutral
2nd rowAgree
3rd rowAgree
4th rowAgree
5th rowAgree

Common Values

ValueCountFrequency (%)
Agree163
42.0%
Strongly Agree87
22.4%
Neutral80
20.6%
Disagree52
 
13.4%
Strongly disagree6
 
1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
agree250
52.0%
strongly93
 
19.3%
neutral80
 
16.6%
disagree58
 
12.1%

Most occurring characters

ValueCountFrequency (%)
e696
22.4%
r481
15.5%
g401
12.9%
A250
 
8.0%
l173
 
5.6%
t173
 
5.6%
a138
 
4.4%
93
 
3.0%
y93
 
3.0%
n93
 
3.0%
Other values (8)520
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2543
81.7%
Uppercase Letter475
 
15.3%
Space Separator93
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e696
27.4%
r481
18.9%
g401
15.8%
l173
 
6.8%
t173
 
6.8%
a138
 
5.4%
y93
 
3.7%
n93
 
3.7%
o93
 
3.7%
u80
 
3.1%
Other values (3)122
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A250
52.6%
S93
 
19.6%
N80
 
16.8%
D52
 
10.9%
Space Separator
ValueCountFrequency (%)
93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3018
97.0%
Common93
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e696
23.1%
r481
15.9%
g401
13.3%
A250
 
8.3%
l173
 
5.7%
t173
 
5.7%
a138
 
4.6%
y93
 
3.1%
n93
 
3.1%
o93
 
3.1%
Other values (7)427
14.1%
Common
ValueCountFrequency (%)
93
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e696
22.4%
r481
15.5%
g401
12.9%
A250
 
8.0%
l173
 
5.6%
t173
 
5.6%
a138
 
4.4%
93
 
3.0%
y93
 
3.0%
n93
 
3.0%
Other values (8)520
16.7%
Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Yes
286 
No
53 
Maybe
49 

Length

Max length5
Median length3
Mean length3.115979381
Min length2

Characters and Unicode

Total characters1209
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes286
73.7%
No53
 
13.7%
Maybe49
 
12.6%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
yes286
73.7%
no53
 
13.7%
maybe49
 
12.6%

Most occurring characters

ValueCountFrequency (%)
e335
27.7%
Y286
23.7%
s286
23.7%
N53
 
4.4%
o53
 
4.4%
M49
 
4.1%
a49
 
4.1%
y49
 
4.1%
b49
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter821
67.9%
Uppercase Letter388
32.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e335
40.8%
s286
34.8%
o53
 
6.5%
a49
 
6.0%
y49
 
6.0%
b49
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
Y286
73.7%
N53
 
13.7%
M49
 
12.6%

Most occurring scripts

ValueCountFrequency (%)
Latin1209
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e335
27.7%
Y286
23.7%
s286
23.7%
N53
 
4.4%
o53
 
4.4%
M49
 
4.1%
a49
 
4.1%
y49
 
4.1%
b49
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e335
27.7%
Y286
23.7%
s286
23.7%
N53
 
4.4%
o53
 
4.4%
M49
 
4.1%
a49
 
4.1%
y49
 
4.1%
b49
 
4.1%

Less Delivery time
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Important
248 
Very Important
56 
Moderately Important
45 
Slightly Important
34 
Unimportant
 
5

Length

Max length20
Median length9
Mean length11.81185567
Min length9

Characters and Unicode

Total characters4583
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowImportant
4th rowVery Important
5th rowImportant

Common Values

ValueCountFrequency (%)
Important248
63.9%
Very Important56
 
14.4%
Moderately Important45
 
11.6%
Slightly Important34
 
8.8%
Unimportant5
 
1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important383
73.2%
very56
 
10.7%
moderately45
 
8.6%
slightly34
 
6.5%
unimportant5
 
1.0%

Most occurring characters

ValueCountFrequency (%)
t855
18.7%
r489
10.7%
o433
9.4%
a433
9.4%
n393
8.6%
m388
8.5%
p388
8.5%
I383
8.4%
e146
 
3.2%
135
 
2.9%
Other values (10)540
11.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3925
85.6%
Uppercase Letter523
 
11.4%
Space Separator135
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t855
21.8%
r489
12.5%
o433
11.0%
a433
11.0%
n393
10.0%
m388
9.9%
p388
9.9%
e146
 
3.7%
y135
 
3.4%
l113
 
2.9%
Other values (4)152
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
I383
73.2%
V56
 
10.7%
M45
 
8.6%
S34
 
6.5%
U5
 
1.0%
Space Separator
ValueCountFrequency (%)
135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4448
97.1%
Common135
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t855
19.2%
r489
11.0%
o433
9.7%
a433
9.7%
n393
8.8%
m388
8.7%
p388
8.7%
I383
8.6%
e146
 
3.3%
y135
 
3.0%
Other values (9)405
9.1%
Common
ValueCountFrequency (%)
135
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t855
18.7%
r489
10.7%
o433
9.4%
a433
9.4%
n393
8.6%
m388
8.5%
p388
8.5%
I383
8.4%
e146
 
3.2%
135
 
2.9%
Other values (10)540
11.8%

High Quality of package
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Important
152 
Very Important
126 
Moderately Important
77 
Slightly Important
27 
Unimportant
 
6

Length

Max length20
Median length18
Mean length13.46391753
Min length9

Characters and Unicode

Total characters5224
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowVery Important
4th rowImportant
5th rowImportant

Common Values

ValueCountFrequency (%)
Important152
39.2%
Very Important126
32.5%
Moderately Important77
19.8%
Slightly Important27
 
7.0%
Unimportant6
 
1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important382
61.8%
very126
 
20.4%
moderately77
 
12.5%
slightly27
 
4.4%
unimportant6
 
1.0%

Most occurring characters

ValueCountFrequency (%)
t880
16.8%
r591
11.3%
o465
8.9%
a465
8.9%
n394
7.5%
m388
7.4%
p388
7.4%
I382
7.3%
e280
 
5.4%
230
 
4.4%
Other values (10)761
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4376
83.8%
Uppercase Letter618
 
11.8%
Space Separator230
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t880
20.1%
r591
13.5%
o465
10.6%
a465
10.6%
n394
9.0%
m388
8.9%
p388
8.9%
e280
 
6.4%
y230
 
5.3%
l131
 
3.0%
Other values (4)164
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
I382
61.8%
V126
 
20.4%
M77
 
12.5%
S27
 
4.4%
U6
 
1.0%
Space Separator
ValueCountFrequency (%)
230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4994
95.6%
Common230
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t880
17.6%
r591
11.8%
o465
9.3%
a465
9.3%
n394
7.9%
m388
7.8%
p388
7.8%
I382
7.6%
e280
 
5.6%
y230
 
4.6%
Other values (9)531
10.6%
Common
ValueCountFrequency (%)
230
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t880
16.8%
r591
11.3%
o465
8.9%
a465
8.9%
n394
7.5%
m388
7.4%
p388
7.4%
I382
7.3%
e280
 
5.4%
230
 
4.4%
Other values (10)761
14.6%

Number of calls
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Important
133 
Very Important
94 
Moderately Important
88 
Slightly Important
54 
Unimportant
19 

Length

Max length20
Median length18
Mean length14.05670103
Min length9

Characters and Unicode

Total characters5454
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowModerately Important
4th rowModerately Important
5th rowModerately Important

Common Values

ValueCountFrequency (%)
Important133
34.3%
Very Important94
24.2%
Moderately Important88
22.7%
Slightly Important54
13.9%
Unimportant19
 
4.9%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important369
59.1%
very94
 
15.1%
moderately88
 
14.1%
slightly54
 
8.7%
unimportant19
 
3.0%

Most occurring characters

ValueCountFrequency (%)
t918
16.8%
r570
10.5%
o476
8.7%
a476
8.7%
n407
7.5%
m388
7.1%
p388
7.1%
I369
 
6.8%
e270
 
5.0%
236
 
4.3%
Other values (10)956
17.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4594
84.2%
Uppercase Letter624
 
11.4%
Space Separator236
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t918
20.0%
r570
12.4%
o476
10.4%
a476
10.4%
n407
8.9%
m388
8.4%
p388
8.4%
e270
 
5.9%
y236
 
5.1%
l196
 
4.3%
Other values (4)269
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
I369
59.1%
V94
 
15.1%
M88
 
14.1%
S54
 
8.7%
U19
 
3.0%
Space Separator
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5218
95.7%
Common236
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t918
17.6%
r570
10.9%
o476
9.1%
a476
9.1%
n407
7.8%
m388
7.4%
p388
7.4%
I369
7.1%
e270
 
5.2%
y236
 
4.5%
Other values (9)720
13.8%
Common
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t918
16.8%
r570
10.5%
o476
8.7%
a476
8.7%
n407
7.5%
m388
7.1%
p388
7.1%
I369
 
6.8%
e270
 
5.0%
236
 
4.3%
Other values (10)956
17.5%

Politeness
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Important
155 
Very Important
119 
Moderately Important
63 
Slightly Important
45 
Unimportant
 
6

Length

Max length20
Median length18
Mean length13.3943299
Min length9

Characters and Unicode

Total characters5197
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowVery Important
4th rowVery Important
5th rowImportant

Common Values

ValueCountFrequency (%)
Important155
39.9%
Very Important119
30.7%
Moderately Important63
16.2%
Slightly Important45
 
11.6%
Unimportant6
 
1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important382
62.1%
very119
 
19.3%
moderately63
 
10.2%
slightly45
 
7.3%
unimportant6
 
1.0%

Most occurring characters

ValueCountFrequency (%)
t884
17.0%
r570
11.0%
o451
8.7%
a451
8.7%
n394
7.6%
m388
7.5%
p388
7.5%
I382
7.4%
e245
 
4.7%
227
 
4.4%
Other values (10)817
15.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4355
83.8%
Uppercase Letter615
 
11.8%
Space Separator227
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t884
20.3%
r570
13.1%
o451
10.4%
a451
10.4%
n394
9.0%
m388
8.9%
p388
8.9%
e245
 
5.6%
y227
 
5.2%
l153
 
3.5%
Other values (4)204
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
I382
62.1%
V119
 
19.3%
M63
 
10.2%
S45
 
7.3%
U6
 
1.0%
Space Separator
ValueCountFrequency (%)
227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4970
95.6%
Common227
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t884
17.8%
r570
11.5%
o451
9.1%
a451
9.1%
n394
7.9%
m388
7.8%
p388
7.8%
I382
7.7%
e245
 
4.9%
y227
 
4.6%
Other values (9)590
11.9%
Common
ValueCountFrequency (%)
227
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t884
17.0%
r570
11.0%
o451
8.7%
a451
8.7%
n394
7.6%
m388
7.5%
p388
7.5%
I382
7.4%
e245
 
4.7%
227
 
4.4%
Other values (10)817
15.7%

Freshness
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Very Important
137 
Important
128 
Slightly Important
60 
Moderately Important
58 
Unimportant
 
5

Length

Max length20
Median length18
Mean length13.82731959
Min length9

Characters and Unicode

Total characters5365
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowVery Important
4th rowVery Important
5th rowImportant

Common Values

ValueCountFrequency (%)
Very Important137
35.3%
Important128
33.0%
Slightly Important60
15.5%
Moderately Important58
14.9%
Unimportant5
 
1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important383
59.6%
very137
 
21.3%
slightly60
 
9.3%
moderately58
 
9.0%
unimportant5
 
0.8%

Most occurring characters

ValueCountFrequency (%)
t894
16.7%
r583
10.9%
a446
8.3%
o446
8.3%
n393
7.3%
m388
7.2%
p388
7.2%
I383
7.1%
y255
 
4.8%
255
 
4.8%
Other values (10)934
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4467
83.3%
Uppercase Letter643
 
12.0%
Space Separator255
 
4.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t894
20.0%
r583
13.1%
a446
10.0%
o446
10.0%
n393
8.8%
m388
8.7%
p388
8.7%
y255
 
5.7%
e253
 
5.7%
l178
 
4.0%
Other values (4)243
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
I383
59.6%
V137
 
21.3%
S60
 
9.3%
M58
 
9.0%
U5
 
0.8%
Space Separator
ValueCountFrequency (%)
255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5110
95.2%
Common255
 
4.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t894
17.5%
r583
11.4%
a446
8.7%
o446
8.7%
n393
7.7%
m388
7.6%
p388
7.6%
I383
7.5%
y255
 
5.0%
e253
 
5.0%
Other values (9)681
13.3%
Common
ValueCountFrequency (%)
255
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t894
16.7%
r583
10.9%
a446
8.3%
o446
8.3%
n393
7.3%
m388
7.2%
p388
7.2%
I383
7.1%
y255
 
4.8%
255
 
4.8%
Other values (10)934
17.4%

Temperature
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Important
148 
Very Important
126 
Moderately Important
88 
Slightly Important
24 
Unimportant
 
2

Length

Max length20
Median length18
Mean length13.68556701
Min length9

Characters and Unicode

Total characters5310
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowImportant
4th rowVery Important
5th rowImportant

Common Values

ValueCountFrequency (%)
Important148
38.1%
Very Important126
32.5%
Moderately Important88
22.7%
Slightly Important24
 
6.2%
Unimportant2
 
0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important386
61.7%
very126
 
20.1%
moderately88
 
14.1%
slightly24
 
3.8%
unimportant2
 
0.3%

Most occurring characters

ValueCountFrequency (%)
t888
16.7%
r602
11.3%
o476
9.0%
a476
9.0%
n390
7.3%
m388
7.3%
p388
7.3%
I386
7.3%
e302
 
5.7%
238
 
4.5%
Other values (10)776
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4446
83.7%
Uppercase Letter626
 
11.8%
Space Separator238
 
4.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t888
20.0%
r602
13.5%
o476
10.7%
a476
10.7%
n390
8.8%
m388
8.7%
p388
8.7%
e302
 
6.8%
y238
 
5.4%
l136
 
3.1%
Other values (4)162
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I386
61.7%
V126
 
20.1%
M88
 
14.1%
S24
 
3.8%
U2
 
0.3%
Space Separator
ValueCountFrequency (%)
238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5072
95.5%
Common238
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t888
17.5%
r602
11.9%
o476
9.4%
a476
9.4%
n390
7.7%
m388
7.6%
p388
7.6%
I386
7.6%
e302
 
6.0%
y238
 
4.7%
Other values (9)538
10.6%
Common
ValueCountFrequency (%)
238
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t888
16.7%
r602
11.3%
o476
9.0%
a476
9.0%
n390
7.3%
m388
7.3%
p388
7.3%
I386
7.3%
e302
 
5.7%
238
 
4.5%
Other values (10)776
14.6%

Good Taste
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Very Important
178 
Important
154 
Moderately Important
39 
Slightly Important
 
11
Unimportant
 
6

Length

Max length20
Median length18
Mean length12.68556701
Min length9

Characters and Unicode

Total characters4922
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowVery Important
4th rowVery Important
5th rowVery Important

Common Values

ValueCountFrequency (%)
Very Important178
45.9%
Important154
39.7%
Moderately Important39
 
10.1%
Slightly Important11
 
2.8%
Unimportant6
 
1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important382
62.0%
very178
28.9%
moderately39
 
6.3%
slightly11
 
1.8%
unimportant6
 
1.0%

Most occurring characters

ValueCountFrequency (%)
t826
16.8%
r605
12.3%
a427
8.7%
o427
8.7%
n394
8.0%
m388
7.9%
p388
7.9%
I382
7.8%
e256
 
5.2%
y228
 
4.6%
Other values (10)601
12.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4078
82.9%
Uppercase Letter616
 
12.5%
Space Separator228
 
4.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t826
20.3%
r605
14.8%
a427
10.5%
o427
10.5%
n394
9.7%
m388
9.5%
p388
9.5%
e256
 
6.3%
y228
 
5.6%
l61
 
1.5%
Other values (4)78
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
I382
62.0%
V178
28.9%
M39
 
6.3%
S11
 
1.8%
U6
 
1.0%
Space Separator
ValueCountFrequency (%)
228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4694
95.4%
Common228
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t826
17.6%
r605
12.9%
a427
9.1%
o427
9.1%
n394
8.4%
m388
8.3%
p388
8.3%
I382
8.1%
e256
 
5.5%
y228
 
4.9%
Other values (9)373
7.9%
Common
ValueCountFrequency (%)
228
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t826
16.8%
r605
12.3%
a427
8.7%
o427
8.7%
n394
8.0%
m388
7.9%
p388
7.9%
I382
7.8%
e256
 
5.2%
y228
 
4.6%
Other values (10)601
12.2%

Good Quantity
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Very Important
174 
Important
153 
Moderately Important
33 
Slightly Important
25 
Unimportant
 
3

Length

Max length20
Median length18
Mean length12.77319588
Min length9

Characters and Unicode

Total characters4956
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowModerately Important
2nd rowVery Important
3rd rowModerately Important
4th rowImportant
5th rowVery Important

Common Values

ValueCountFrequency (%)
Very Important174
44.8%
Important153
39.4%
Moderately Important33
 
8.5%
Slightly Important25
 
6.4%
Unimportant3
 
0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

ValueCountFrequency (%)
important385
62.1%
very174
28.1%
moderately33
 
5.3%
slightly25
 
4.0%
unimportant3
 
0.5%

Most occurring characters

ValueCountFrequency (%)
t834
16.8%
r595
12.0%
a421
8.5%
o421
8.5%
n391
7.9%
m388
7.8%
p388
7.8%
I385
7.8%
e240
 
4.8%
y232
 
4.7%
Other values (10)661
13.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4104
82.8%
Uppercase Letter620
 
12.5%
Space Separator232
 
4.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t834
20.3%
r595
14.5%
a421
10.3%
o421
10.3%
n391
9.5%
m388
9.5%
p388
9.5%
e240
 
5.8%
y232
 
5.7%
l83
 
2.0%
Other values (4)111
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
I385
62.1%
V174
28.1%
M33
 
5.3%
S25
 
4.0%
U3
 
0.5%
Space Separator
ValueCountFrequency (%)
232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4724
95.3%
Common232
 
4.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t834
17.7%
r595
12.6%
a421
8.9%
o421
8.9%
n391
8.3%
m388
8.2%
p388
8.2%
I385
8.1%
e240
 
5.1%
y232
 
4.9%
Other values (9)429
9.1%
Common
ValueCountFrequency (%)
232
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t834
16.8%
r595
12.0%
a421
8.5%
o421
8.5%
n391
7.9%
m388
7.8%
p388
7.8%
I385
7.8%
e240
 
4.8%
y232
 
4.7%
Other values (10)661
13.3%

Output
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
True
301 
False
87 
ValueCountFrequency (%)
True301
77.6%
False87
 
22.4%

Reviews
Categorical

HIGH CARDINALITY

Distinct181
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
NIL
78 
Nil
57 
nil
 
5
No
 
4
I'm quite satisfied with the service
 
3
Other values (176)
241 

Length

Max length203
Median length113
Mean length36.23195876
Min length1

Characters and Unicode

Total characters14058
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)34.3%

Sample

1st rowNil
2nd rowNil
3rd rowMany a times payment gateways are an issue, so getting the refund and the surcharges are an inconvenience
4th rownil
5th rowNIL

Common Values

ValueCountFrequency (%)
NIL78
 
20.1%
Nil57
 
14.7%
nil5
 
1.3%
No4
 
1.0%
I'm quite satisfied with the service3
 
0.8%
Need quality food delivery. had worst experience of spilled food3
 
0.8%
Delivery people are working hard. Can't complain3
 
0.8%
My entire family loves swiggy3
 
0.8%
Faster delivery is needed !!3
 
0.8%
I would avoid restaurants which has less rating 3
 
0.8%
Other values (171)226
58.2%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
nil146
 
5.8%
delivery121
 
4.8%
i103
 
4.1%
the67
 
2.6%
to61
 
2.4%
food51
 
2.0%
and49
 
1.9%
is46
 
1.8%
with44
 
1.7%
my38
 
1.5%
Other values (443)1806
71.3%

Most occurring characters

ValueCountFrequency (%)
2184
15.5%
e1538
 
10.9%
i896
 
6.4%
r802
 
5.7%
o797
 
5.7%
t787
 
5.6%
a726
 
5.2%
s662
 
4.7%
d575
 
4.1%
l544
 
3.9%
Other values (56)4547
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter10665
75.9%
Space Separator2184
 
15.5%
Uppercase Letter995
 
7.1%
Other Punctuation197
 
1.4%
Decimal Number10
 
0.1%
Dash Punctuation4
 
< 0.1%
Control2
 
< 0.1%
Math Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1538
14.4%
i896
 
8.4%
r802
 
7.5%
o797
 
7.5%
t787
 
7.4%
a726
 
6.8%
s662
 
6.2%
d575
 
5.4%
l544
 
5.1%
n506
 
4.7%
Other values (16)2832
26.6%
Uppercase Letter
ValueCountFrequency (%)
I224
22.5%
N180
18.1%
L106
10.7%
B59
 
5.9%
S50
 
5.0%
T49
 
4.9%
F43
 
4.3%
E35
 
3.5%
O34
 
3.4%
A33
 
3.3%
Other values (14)182
18.3%
Decimal Number
ValueCountFrequency (%)
03
30.0%
52
20.0%
61
 
10.0%
71
 
10.0%
41
 
10.0%
11
 
10.0%
91
 
10.0%
Other Punctuation
ValueCountFrequency (%)
.81
41.1%
!49
24.9%
'38
19.3%
,25
 
12.7%
?4
 
2.0%
Space Separator
ValueCountFrequency (%)
2184
100.0%
Dash Punctuation
ValueCountFrequency (%)
-4
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin11660
82.9%
Common2398
 
17.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1538
13.2%
i896
 
7.7%
r802
 
6.9%
o797
 
6.8%
t787
 
6.7%
a726
 
6.2%
s662
 
5.7%
d575
 
4.9%
l544
 
4.7%
n506
 
4.3%
Other values (40)3827
32.8%
Common
ValueCountFrequency (%)
2184
91.1%
.81
 
3.4%
!49
 
2.0%
'38
 
1.6%
,25
 
1.0%
-4
 
0.2%
?4
 
0.2%
03
 
0.1%
2
 
0.1%
52
 
0.1%
Other values (6)6
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII14058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2184
15.5%
e1538
 
10.9%
i896
 
6.4%
r802
 
5.7%
o797
 
5.7%
t787
 
5.6%
a726
 
5.2%
s662
 
4.7%
d575
 
4.1%
l544
 
3.9%
Other values (56)4547
32.3%

Interactions

Correlations

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

AgeGenderMarital StatusOccupationMonthly IncomeEducational QualificationsFamily sizelatitudelongitudePin codeMedium (P1)Medium (P2)Meal(P1)Meal(P2)Perference(P1)Perference(P2)Ease and convenientTime savingMore restaurant choicesEasy Payment optionMore Offers and DiscountGood Food qualityGood Tracking systemSelf CookingHealth ConcernLate DeliveryPoor HygieneBad past experienceUnavailabilityUnaffordableLong delivery timeDelay of delivery person getting assignedDelay of delivery person picking up foodWrong order deliveredMissing itemOrder placed by mistakeInfluence of timeOrder TimeMaximum wait timeResidence in busy locationGoogle Maps AccuracyGood Road ConditionLow quantity low timeDelivery person abilityInfluence of ratingLess Delivery timeHigh Quality of packageNumber of callsPolitenessFreshnessTemperatureGood TasteGood QuantityOutputReviews
020FemaleSingleStudentNo IncomePost Graduate412.976677.5993560001Food delivery appsWeb browserBreakfastLunchNon Veg foods (Lunch / Dinner)Bakery items (snacks)NeutralNeutralNeutralNeutralNeutralNeutralNeutralNeutralNeutralNeutralNeutralNeutralNeutralNeutralAgreeAgreeAgreeAgreeAgreeAgreeYesWeekend (Sat & Sun)30 minutesAgreeNeutralNeutralNeutralNeutralYesModerately ImportantModerately ImportantModerately ImportantModerately ImportantModerately ImportantModerately ImportantModerately ImportantModerately ImportantYesNil\n
124FemaleSingleStudentBelow Rs.10000Graduate312.977077.5773560009Food delivery appsWeb browserSnacksDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)Strongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeNeutralAgreeStrongly agreeStrongly agreeAgreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeYesAnytime (Mon-Sun)30 minutesStrongly AgreeNeutralDisagreeStrongly disagreeAgreeYesVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNil
222MaleSingleStudentBelow Rs.10000Post Graduate312.955177.6593560017Food delivery appsDirect callLunchSnacksNon Veg foods (Lunch / Dinner)Ice cream / Cool drinksStrongly agreeStrongly agreeStrongly agreeNeutralNeutralDisagreeNeutralDisagreeNeutralNeutralAgreeAgreeAgreeAgreeAgreeAgreeAgreeStrongly agreeAgreeNeutralYesAnytime (Mon-Sun)45 minutesAgreeStrongly AgreeNeutralNeutralAgreeYesImportantVery ImportantModerately ImportantVery ImportantVery ImportantImportantVery ImportantModerately ImportantYesMany a times payment gateways are an issue, so getting the refund and the surcharges are an inconvenience
322FemaleSingleStudentNo IncomeGraduate612.947377.5616560019Food delivery appsWalk-inSnacksDinnerVeg foods (Breakfast / Lunch / Dinner)Bakery items (snacks)AgreeAgreeStrongly agreeAgreeStrongly agreeAgreeAgreeAgreeStrongly agreeNeutralAgreeDisagreeDisagreeNeutralAgreeAgreeAgreeDisagreeDisagreeNeutralYesAnytime (Mon-Sun)30 minutesDisagreeAgreeAgreeNeutralAgreeYesVery ImportantImportantModerately ImportantVery ImportantVery ImportantVery ImportantVery ImportantImportantYesnil
422MaleSingleStudentBelow Rs.10000Post Graduate412.985077.5533560010Walk-inDirect callLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeAgreeAgreeAgreeNeutralNeutralAgreeStrongly agreeStrongly agreeAgreeStrongly agreeAgreeDisagreeStrongly agreeStrongly agreeNeutralNeutralNeutralDisagreeYesWeekend (Sat & Sun)30 minutesAgreeAgreeAgreeAgreeAgreeYesImportantImportantModerately ImportantImportantImportantImportantVery ImportantVery ImportantYesNIL
527FemaleMarriedEmployeeMore than 50000Post Graduate212.929977.6848560103Food delivery appsWalk-inLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeNeutralAgreeAgreeNeutralAgreeDisagreeNeutralAgreeAgreeAgreeAgreeAgreeStrongly agreeStrongly agreeStrongly agreeAgreeStrongly agreeStrongly agreeYesAnytime (Mon-Sun)45 minutesNeutralAgreeNeutralNeutralNeutralYesImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNIL
622MaleSingleStudentNo IncomeGraduate312.977077.5773560009Food delivery appsDirect callLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)Strongly agreeStrongly agreeAgreeStrongly agreeAgreeNeutralAgreeDisagreeAgreeDisagreeAgreeDisagreeStrongly agreeStrongly disagreeNeutralDisagreeDisagreeStrongly agreeStrongly agreeStrongly agreeNoAnytime (Mon-Sun)45 minutesAgreeStrongly AgreeDisagreeAgreeStrongly AgreeYesVery ImportantVery ImportantUnimportantImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNil
724FemaleSingleStudentNo IncomePost Graduate312.982877.6131560042Food delivery appsDirect callDinnerDinnerNon Veg foods (Lunch / Dinner)Ice cream / Cool drinksStrongly agreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeNeutralNeutralNeutralNeutralAgreeAgreeAgreeNeutralAgreeAgreeYesWeekend (Sat & Sun)45 minutesAgreeAgreeAgreeNeutralDisagreeMaybeModerately ImportantImportantModerately ImportantSlightly ImportantImportantModerately ImportantVery ImportantVery ImportantYesNIL
823FemaleSingleStudentNo IncomePost Graduate212.976677.5993560001Food delivery appsDirect callDinnerDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeStrongly agreeAgreeAgreeNeutralAgreeAgreeAgreeNeutralAgreeNeutralNeutralDisagreeAgreeAgreeAgreeAgreeAgreeStrongly agreeYesAnytime (Mon-Sun)30 minutesDisagreeDisagreeNeutralAgreeAgreeMaybeImportantImportantImportantImportantImportantImportantImportantImportantYesNil
923FemaleSingleStudentNo IncomePost Graduate412.985477.7081560048Food delivery appsWalk-inLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)NeutralNeutralNeutralNeutralNeutralNeutralNeutralAgreeAgreeNeutralNeutralNeutralNeutralNeutralAgreeAgreeAgreeNeutralAgreeAgreeYesWeekend (Sat & Sun)45 minutesAgreeAgreeAgreeDisagreeDisagreeYesModerately ImportantVery ImportantModerately ImportantModerately ImportantModerately ImportantModerately ImportantVery ImportantVery ImportantYesNil

Last rows

AgeGenderMarital StatusOccupationMonthly IncomeEducational QualificationsFamily sizelatitudelongitudePin codeMedium (P1)Medium (P2)Meal(P1)Meal(P2)Perference(P1)Perference(P2)Ease and convenientTime savingMore restaurant choicesEasy Payment optionMore Offers and DiscountGood Food qualityGood Tracking systemSelf CookingHealth ConcernLate DeliveryPoor HygieneBad past experienceUnavailabilityUnaffordableLong delivery timeDelay of delivery person getting assignedDelay of delivery person picking up foodWrong order deliveredMissing itemOrder placed by mistakeInfluence of timeOrder TimeMaximum wait timeResidence in busy locationGoogle Maps AccuracyGood Road ConditionLow quantity low timeDelivery person abilityInfluence of ratingLess Delivery timeHigh Quality of packageNumber of callsPolitenessFreshnessTemperatureGood TasteGood QuantityOutputReviews
37823FemaleSingleEmployee25001 to 50000Post Graduate212.984777.5491560100Food delivery appsWalk-inDinnerDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeNeutralAgreeAgreeStrongly agreeAgreeStrongly agreeDisagreeDisagreeStrongly disagreeDisagreeStrongly disagreeStrongly disagreeDisagreeAgreeAgreeNeutralAgreeAgreeStrongly agreeYesAnytime (Mon-Sun)30 minutesAgreeStrongly AgreeStrongly AgreeAgreeAgreeYesImportantModerately ImportantImportantImportantImportantImportantVery ImportantVery ImportantYesMy location is pretty well built for food delivery
37922MaleSingleStudentBelow Rs.10000Post Graduate412.985077.5533560010Walk-inDirect callLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeAgreeAgreeAgreeNeutralNeutralAgreeStrongly agreeStrongly agreeAgreeStrongly agreeAgreeDisagreeStrongly agreeStrongly agreeNeutralNeutralNeutralDisagreeYesWeekend (Sat & Sun)30 minutesAgreeAgreeAgreeAgreeAgreeYesImportantImportantModerately ImportantImportantImportantImportantVery ImportantVery ImportantYesNIL
38027FemaleMarriedEmployeeMore than 50000Post Graduate212.929977.6848560103Food delivery appsWalk-inLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeNeutralAgreeAgreeNeutralAgreeDisagreeNeutralAgreeAgreeAgreeAgreeAgreeStrongly agreeStrongly agreeStrongly agreeAgreeStrongly agreeStrongly agreeYesAnytime (Mon-Sun)45 minutesNeutralAgreeNeutralNeutralNeutralYesImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNIL
38122MaleSingleStudentNo IncomeGraduate312.977077.5773560009Food delivery appsDirect callLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)Strongly agreeStrongly agreeAgreeStrongly agreeAgreeNeutralAgreeDisagreeAgreeDisagreeAgreeDisagreeStrongly agreeStrongly disagreeNeutralDisagreeDisagreeStrongly agreeStrongly agreeStrongly agreeNoAnytime (Mon-Sun)45 minutesAgreeStrongly AgreeDisagreeAgreeStrongly AgreeYesVery ImportantVery ImportantUnimportantImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNil
38224FemaleSingleStudentNo IncomePost Graduate312.982877.6131560042Food delivery appsDirect callDinnerDinnerNon Veg foods (Lunch / Dinner)Ice cream / Cool drinksStrongly agreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeNeutralNeutralNeutralNeutralAgreeAgreeAgreeNeutralAgreeAgreeYesWeekend (Sat & Sun)45 minutesAgreeAgreeAgreeNeutralDisagreeMaybeModerately ImportantImportantModerately ImportantSlightly ImportantImportantModerately ImportantVery ImportantVery ImportantYesNIL
38323FemaleSingleStudentNo IncomePost Graduate212.976677.5993560001Food delivery appsDirect callDinnerDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeStrongly agreeAgreeAgreeNeutralAgreeAgreeAgreeNeutralAgreeNeutralNeutralDisagreeAgreeAgreeAgreeAgreeAgreeStrongly agreeYesAnytime (Mon-Sun)30 minutesDisagreeDisagreeNeutralAgreeAgreeMaybeImportantImportantImportantImportantImportantImportantImportantImportantYesNil
38423FemaleSingleStudentNo IncomePost Graduate412.985477.7081560048Food delivery appsWalk-inLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)NeutralNeutralNeutralNeutralNeutralNeutralNeutralAgreeAgreeNeutralNeutralNeutralNeutralNeutralAgreeAgreeAgreeNeutralAgreeAgreeYesWeekend (Sat & Sun)45 minutesAgreeAgreeAgreeDisagreeDisagreeYesModerately ImportantVery ImportantModerately ImportantModerately ImportantModerately ImportantModerately ImportantVery ImportantVery ImportantYesNil
38522FemaleSingleStudentNo IncomePost Graduate512.985077.5533560010Food delivery appsDirect callSnacksDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeAgreeAgreeAgreeNeutralAgreeAgreeStrongly agreeAgreeStrongly agreeAgreeAgreeAgreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeYesAnytime (Mon-Sun)45 minutesAgreeAgreeStrongly AgreeNeutralAgreeYesImportantVery ImportantImportantImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNil
38623MaleSingleStudentBelow Rs.10000Post Graduate212.977077.5773560009Food delivery appsWalk-inLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)Strongly agreeStrongly agreeStrongly agreeStrongly agreeAgreeAgreeStrongly agreeAgreeStrongly agreeDisagreeAgreeStrongly agreeStrongly agreeNeutralStrongly agreeStrongly agreeAgreeStrongly agreeStrongly agreeDisagreeMaybeWeekend (Sat & Sun)45 minutesStrongly AgreeDisagreeAgreeDisagreeStrongly AgreeYesImportantVery ImportantImportantVery ImportantVery ImportantImportantVery ImportantVery ImportantYesLanguage barrier is also one major issue. Moslty these delivery boys are only familiar with Kanada which creates a problem while addressing any issue.
38723MaleSingleStudentNo IncomePost Graduate512.898877.5764560078Walk-inDirect callSnacksDinnerNon Veg foods (Lunch / Dinner)Bakery items (snacks)AgreeNeutralAgreeAgreeAgreeDisagreeAgreeNeutralAgreeNeutralAgreeDisagreeDisagreeNeutralAgreeNeutralNeutralDisagreeStrongly disagreeStrongly disagreeYesWeekend (Sat & Sun)30 minutesAgreeAgreeNeutralDisagreeAgreeMaybeSlightly ImportantUnimportantSlightly ImportantModerately ImportantModerately ImportantModerately ImportantModerately ImportantSlightly ImportantYesNil

Duplicate rows

Most frequently occurring

AgeGenderMarital StatusOccupationMonthly IncomeEducational QualificationsFamily sizelatitudelongitudePin codeMedium (P1)Medium (P2)Meal(P1)Meal(P2)Perference(P1)Perference(P2)Ease and convenientTime savingMore restaurant choicesEasy Payment optionMore Offers and DiscountGood Food qualityGood Tracking systemSelf CookingHealth ConcernLate DeliveryPoor HygieneBad past experienceUnavailabilityUnaffordableLong delivery timeDelay of delivery person getting assignedDelay of delivery person picking up foodWrong order deliveredMissing itemOrder placed by mistakeInfluence of timeOrder TimeMaximum wait timeResidence in busy locationGoogle Maps AccuracyGood Road ConditionLow quantity low timeDelivery person abilityInfluence of ratingLess Delivery timeHigh Quality of packageNumber of callsPolitenessFreshnessTemperatureGood TasteGood QuantityOutputReviews# duplicates
2323FemaleSingleStudentNo IncomePost Graduate413.048777.5923560024Food delivery appsDirect callDinnerDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)Strongly agreeStrongly agreeStrongly agreeNeutralNeutralStrongly agreeStrongly agreeNeutralDisagreeNeutralStrongly agreeAgreeNeutralDisagreeAgreeAgreeAgreeStrongly agreeAgreeNeutralYesWeekend (Sat & Sun)45 minutesNeutralNeutralNeutralNeutralNeutralYesImportantImportantModerately ImportantModerately ImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNil6
1823FemaleSingleStudentNo IncomeGraduate513.020677.6479560043Food delivery appsDirect callLunchSnacksVeg foods (Breakfast / Lunch / Dinner)Ice cream / Cool drinksStrongly agreeAgreeAgreeNeutralAgreeNeutralNeutralAgreeNeutralAgreeAgreeNeutralAgreeDisagreeNeutralNeutralNeutralNeutralNeutralNeutralYesWeekdays (Mon-Fri)45 minutesNeutralNeutralNeutralNeutralNeutralYesSlightly ImportantModerately ImportantSlightly ImportantSlightly ImportantImportantImportantImportantImportantYesNil4
020MaleSingleStudentNo IncomeGraduate212.926177.6221560034Food delivery appsDirect callLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeStrongly agreeAgreeAgreeStrongly agreeAgreeStrongly agreeDisagreeDisagreeAgreeDisagreeDisagreeStrongly disagreeStrongly disagreeAgreeStrongly agreeAgreeStrongly disagreeStrongly disagreeStrongly disagreeYesWeekend (Sat & Sun)45 minutesAgreeStrongly AgreeAgreeAgreeDisagreeYesImportantModerately ImportantModerately ImportantImportantImportantVery ImportantVery ImportantImportantYesI had no issues as per my experience. But heard delivery people are sometimes rude3
221MaleSingleStudentNo IncomeGraduate213.001277.5995560046Food delivery appsDirect callDinnerDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)DisagreeDisagreeNeutralDisagreeNeutralDisagreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeDisagreeNeutralAgreeDisagreeDisagreeDisagreeYesAnytime (Mon-Sun)30 minutesAgreeStrongly AgreeAgreeAgreeStrongly AgreeYesModerately ImportantImportantImportantImportantImportantVery ImportantVery ImportantVery ImportantNoDelivery is late. Need quick updates on location of order3
521MaleSingleStudentNo IncomeGraduate512.978377.6408560038Food delivery appsWeb browserLunchSnacksNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeStrongly agreeAgreeAgreeStrongly agreeAgreeNeutralAgreeNeutralAgreeAgreeDisagreeDisagreeDisagreeDisagreeNeutralDisagreeAgreeAgreeStrongly agreeYesWeekend (Sat & Sun)45 minutesAgreeNeutralAgreeStrongly AgreeStrongly AgreeYesImportantImportantVery ImportantImportantSlightly ImportantModerately ImportantImportantImportantYesI love ordering for my family from swiggy3
622FemaleSingleEmployee25001 to 50000Graduate412.884577.6036560076Food delivery appsWalk-inLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)Strongly agreeAgreeNeutralNeutralAgreeNeutralAgreeAgreeStrongly agreeNeutralStrongly agreeAgreeAgreeDisagreeDisagreeDisagreeDisagreeAgreeAgreeAgreeYesAnytime (Mon-Sun)45 minutesStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeYesImportantVery ImportantVery ImportantVery ImportantVery ImportantImportantVery ImportantImportantYesNIL3
822FemaleSingleStudentNo IncomeGraduate212.936977.6407560095Food delivery appsDirect callBreakfastSnacksNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeAgreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeDisagreeDisagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeStrongly disagreeNoAnytime (Mon-Sun)More than 60 minutesAgreeAgreeStrongly AgreeAgreeDisagreeMaybeImportantImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantVery ImportantYesDelivery people are working hard. Can't complain3
1022FemaleSingleStudentNo IncomePost Graduate512.985077.5533560010Food delivery appsDirect callSnacksDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeAgreeAgreeAgreeNeutralAgreeAgreeStrongly agreeAgreeStrongly agreeAgreeAgreeAgreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeYesAnytime (Mon-Sun)45 minutesAgreeAgreeStrongly AgreeNeutralAgreeYesImportantVery ImportantImportantImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNil3
1222MaleSingleStudentBelow Rs.10000Post Graduate412.985077.5533560010Walk-inDirect callLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)AgreeAgreeAgreeAgreeAgreeNeutralNeutralAgreeStrongly agreeStrongly agreeAgreeStrongly agreeAgreeDisagreeStrongly agreeStrongly agreeNeutralNeutralNeutralDisagreeYesWeekend (Sat & Sun)30 minutesAgreeAgreeAgreeAgreeAgreeYesImportantImportantModerately ImportantImportantImportantImportantVery ImportantVery ImportantYesNIL3
1322MaleSingleStudentNo IncomeGraduate312.977077.5773560009Food delivery appsDirect callLunchDinnerNon Veg foods (Lunch / Dinner)Veg foods (Breakfast / Lunch / Dinner)Strongly agreeStrongly agreeAgreeStrongly agreeAgreeNeutralAgreeDisagreeAgreeDisagreeAgreeDisagreeStrongly agreeStrongly disagreeNeutralDisagreeDisagreeStrongly agreeStrongly agreeStrongly agreeNoAnytime (Mon-Sun)45 minutesAgreeStrongly AgreeDisagreeAgreeStrongly AgreeYesVery ImportantVery ImportantUnimportantImportantVery ImportantVery ImportantVery ImportantVery ImportantYesNil3